-
1
-
-
84873935066
-
-
Publication Number: US2005/0065332 AI, PCT Filed: Jan 15, 2003, PCT No.: PCT/US03/0024
-
Brachmann KR (2005) Global Suppressors of P53 Mutations. Publication Number: US2005/0065332 AI, PCT Filed: Jan 15, 2003, PCT No.: PCT/US03/0024.
-
(2005)
Global Suppressors of P53 Mutations
-
-
Brachmann, K.R.1
-
2
-
-
0033552638
-
May P, May E (December 1999) Twenty years of p53 research: structural and functional aspects of the p53 protein
-
Doi:. PMID 10618702 10.1038/sj.onc.1203285
-
May P, May E (December 1999) Twenty years of p53 research: structural and functional aspects of the p53 protein. Oncogene 18 (53): 7621-36 Doi:10.1038/sj.onc.1203285. PMID 10618702.
-
Oncogene
, vol.18
, Issue.53
, pp. 7621-7636
-
-
-
3
-
-
0027500293
-
No germline TP53 Mutations detected in familial and bilateral testicular cancer
-
Heimdal K, Lothe RA, Lystad S, Holm R, Fosså SD, et al. (1993) No germline TP53 Mutations detected in familial and bilateral testicular cancer. Genes Chromosomes Cancer 6, 92-7.
-
(1993)
Genes Chromosomes Cancer
, vol.6
, pp. 92-97
-
-
Heimdal, K.1
Lothe, R.A.2
Lystad, S.3
Holm, R.4
Fosså, S.D.5
-
4
-
-
34248379012
-
Impact of mutant p53 functional properties on TP53 mutation patterns and tumour phenotype: lessons from recent developments in the IARC TP53 database
-
doi: 10.1002/humu.20495
-
Petitjean A, Mathe E, Kato S, Ishioka C, Tavtigian SV, et al. (2007) Impact of mutant p53 functional properties on TP53 mutation patterns and tumour phenotype: lessons from recent developments in the IARC TP53 database. Human Mutation 28: 622-629 doi:10.1002/humu.20495.
-
(2007)
Human Mutation
, vol.28
, pp. 622-629
-
-
Petitjean, A.1
Mathe, E.2
Kato, S.3
Ishioka, C.4
Tavtigian, S.V.5
-
5
-
-
0029845760
-
Structure and function of the P53 tumour suppressor gene: clues for rational cancer therapeutic strategies
-
Harris CC (1996) Structure and function of the P53 tumour suppressor gene: clues for rational cancer therapeutic strategies. Journal of the National Cancer Institute 88, 1442-1454.
-
(1996)
Journal of the National Cancer Institute
, vol.88
, pp. 1442-1454
-
-
Harris, C.C.1
-
6
-
-
0029922621
-
P53 tumour suppressor gene: from the basic research laboratory to the clinic-an abridged historical perspective
-
Harris CC (1996) P53 tumour suppressor gene: from the basic research laboratory to the clinic-an abridged historical perspective. Carcinogenesis 17, 1187-98.
-
(1996)
Carcinogenesis
, vol.17
, pp. 1187-1198
-
-
Harris, C.C.1
-
7
-
-
0027489384
-
Clinical implications of the P53 tumor-suppressor gene
-
Harris CC, Hollstein M(1993) Clinical implications of the P53 tumor-suppressor gene. N Engl Journal of Medicine 329, 1318-27.
-
(1993)
N Engl Journal of Medicine
, vol.329
, pp. 1318-1327
-
-
Harris, C.C.1
Hollstein, M.2
-
8
-
-
84873883842
-
-
International Agency for Research on Cancer
-
International Agency for Research on Cancer. Available: http://www.iarc.fr. Accessed 10 November 2012.
-
-
-
-
9
-
-
83555162507
-
Regulation of p53 stability and function by the deubiquitinating enzyme USP42
-
Hock AK, Vigneron AM, Carter S, Ludwig RL, Vousden KH, (2011) Regulation of p53 stability and function by the deubiquitinating enzyme USP42. EMBO J 30: 4921-30.
-
(2011)
EMBO J
, vol.30
, pp. 4921-4930
-
-
Hock, A.K.1
Vigneron, A.M.2
Carter, S.3
Ludwig, R.L.4
Vousden, K.H.5
-
10
-
-
0036527761
-
Dissecting p53 tumour suppressor functions in vivo
-
Doi: 10.1016/S1535-6108(02)00047-8. PMID 12086865, April
-
Schmitt CA, Fridman JS, Yang M, Baranov E, Hoffman RM,et al. (April 2002) Dissecting p53 tumour suppressor functions in vivo. Cancer Cell 1 (3): 289-298. Doi: 10.1016/S1535-6108(02)00047-8. PMID 12086865.
-
(2002)
Cancer Cell
, vol.1
, Issue.3
, pp. 289-298
-
-
Schmitt, C.A.1
Fridman, J.S.2
Yang, M.3
Baranov, E.4
Hoffman, R.M.5
-
11
-
-
84873907110
-
-
Bioinformatics Organisation, Accessed 2012 Nov 18
-
Bioinformatics Organisation http://www.bioinformatics.org/p53/introduction.html Accessed 2012 Nov 18.
-
-
-
-
12
-
-
0025815451
-
Identification of p53 as a sequence-specific DNA-binding protein
-
June, Doi: 10.1126/science.2047879. PMID 2047879
-
Kern SE, Kinzler KW, Bruskin A, Jarosz D, Friedman P,et al. (June 1991) Identification of p53 as a sequence-specific DNA-binding protein. Science 252 (5013): 1708-11. Doi: 10.1126/science.2047879. PMID 2047879.
-
(1991)
Science
, vol.252
, Issue.5013
, pp. 1708-1711
-
-
Kern, S.E.1
Kinzler, K.W.2
Bruskin, A.3
Jarosz, D.4
Friedman, P.5
-
13
-
-
0033986412
-
p53 Website and Analysis of p53 Gene Mutations in Human Cancer: Forging a Link Between Epidemiology and Carcinogenesis
-
Soussi T, Dehouche K, Béroud C, (2000) p53 Website and Analysis of p53 Gene Mutations in Human Cancer: Forging a Link Between Epidemiology and Carcinogenesis. MIDI Special Article, Human Mutation 15: 105.113.
-
(2000)
MIDI Special Article, Human Mutation
, vol.15
, pp. 105-113
-
-
Soussi, T.1
Dehouche, K.2
Béroud, C.3
-
14
-
-
1842737710
-
Global Supressor Motif for P53 Cancer Mutants
-
Baroni TE, Wang T, Qian H, Dearth LR, Truong LN, et al. (2004) Global Supressor Motif for P53 Cancer Mutants. PNAS, 4930-4935, vol. 101 no.14.
-
(2004)
PNAS
, vol.101
, Issue.14
, pp. 4930-4935
-
-
Baroni, T.E.1
Wang, T.2
Qian, H.3
Dearth, L.R.4
Truong, L.N.5
-
15
-
-
0031841384
-
IARC Database of P53 Gene Mutations in Human Tumors and Cell lines: updated compilation, revised formats and new visualization tools
-
P Hainaut, T Hernandez, A Robinson, P Rodriguez-Tome, T Flores, M Hollstein, et al. (1998) IARC Database of P53 Gene Mutations in Human Tumors and Cell lines: updated compilation, revised formats and new visualization tools. Nucleic Acids Research 26, 205-13.
-
(1998)
Nucleic Acids Research
, vol.26
, pp. 205-213
-
-
Hainaut, P.1
Hernandez, T.2
Robinson, A.3
Rodriguez-Tome, P.4
Flores, T.5
Hollstein, M.6
-
16
-
-
0033992478
-
P53 and Human Cancer: the first ten thousand mutations
-
Hainaut P, Hollenstein M (2000) P53 and Human Cancer: the first ten thousand mutations. Adv. Cancer Research, 77, 81-137.
-
(2000)
Adv. Cancer Research
, vol.77
, pp. 81-137
-
-
Hainaut, P.1
Hollenstein, M.2
-
17
-
-
0036129489
-
The p53 pathway in breast cancer
-
© 2002 BioMed Central Ltd, (Print ISSN 1465-5411; Online ISSN 1465-542X)
-
Gasco M, Shami S, Crook T (2002) The p53 pathway in breast cancer, Breast Cancer Res 4: 70-76, © 2002 BioMed Central Ltd, (Print ISSN 1465-5411; Online ISSN 1465-542X).
-
(2002)
Breast Cancer Res
, vol.4
, pp. 70-76
-
-
Gasco, M.1
Shami, S.2
Crook, T.3
-
18
-
-
84873895905
-
-
The P53 Website, update July 2010
-
The P53 Website, update July 2010, http://p53.free.fr/Accessed 2012 Nov 15.
-
-
-
-
19
-
-
32544458945
-
Predicting the Transactivation Activity of p53 Missense Mutants Using a Four-Body Potential Score Derived From Delaunay Tessellations
-
Mathe E, Olivier M, Kato S, Ishioka C, Vaisman I, et al. (2006) Predicting the Transactivation Activity of p53 Missense Mutants Using a Four-Body Potential Score Derived From Delaunay Tessellations. Human Mutation 0, 1-10.
-
(2006)
Human Mutation
, pp. 1-10
-
-
Mathe, E.1
Olivier, M.2
Kato, S.3
Ishioka, C.4
Vaisman, I.5
-
20
-
-
79961193016
-
Predicting Transcriptional Activity of Multiple Site p53 Mutants Based on Hybrid Properties
-
doi: 10.1371/journal.pone.0022940
-
Huang T, Niu S, Xu Z, Huang Y, Kong X, et al. (2011) Predicting Transcriptional Activity of Multiple Site p53 Mutants Based on Hybrid Properties. PLoS ONE 6(8): e22940 doi:10.1371/journal.pone.0022940.
-
(2011)
PLoS ONE
, vol.6
, Issue.8
-
-
Huang, T.1
Niu, S.2
Xu, Z.3
Huang, Y.4
Kong, X.5
-
21
-
-
24344458137
-
Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy
-
Peng H, Long F, Ding C, (2005) Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans Pattern Anal Mach Intell 27: 1226-1238.
-
(2005)
IEEE Trans Pattern Anal Mach Intell
, vol.27
, pp. 1226-1238
-
-
Peng, H.1
Long, F.2
Ding, C.3
-
22
-
-
0033931867
-
Assessing the accuracy of prediction algorithms for classification: an overview
-
Baldi P, Brunak S, Chauvin Y, Andersen CA, Nielsen H, (2000) Assessing the accuracy of prediction algorithms for classification: an overview. Bioinformatics 16: 412-424.
-
(2000)
Bioinformatics
, vol.16
, pp. 412-424
-
-
Baldi, P.1
Brunak, S.2
Chauvin, Y.3
Andersen, C.A.4
Nielsen, H.5
-
23
-
-
84867483025
-
Discovery of Knowledge Patterns in Clinical Data through Data Mining Algorithms: Multi-class Categorization of Breast Tissue Data, International Journal of Computer Applications (IJCA)
-
DOI: 10.5120/3920-5521
-
Jacob SG, Geetha Ramani R, (2011) Discovery of Knowledge Patterns in Clinical Data through Data Mining Algorithms: Multi-class Categorization of Breast Tissue Data, International Journal of Computer Applications (IJCA). 32(7): 46-53 DOI:10.5120/3920-5521. Published by Foundation of Computer Science, New York, USA.
-
(2011)
, vol.32
, Issue.7
, pp. 46-53
-
-
Jacob, S.G.1
Geetha Ramani, R.2
-
24
-
-
84863334698
-
Feature Selection and Classification in Breast Cancer Datasets through Data Mining Algorithms
-
Kanyakumari, India, IEEE Catalog Number: CFP1120J-PRT, ISBN: 978-1-61284-766-5
-
Jacob SG, Geetha Ramani R, Nancy P (2011) Feature Selection and Classification in Breast Cancer Datasets through Data Mining Algorithms. Proceedings of the IEEE International Conference on Computational Intelligence and Computing Research (ICCIC'2011), Kanyakumari, India, IEEE Catalog Number: CFP1120J-PRT, ISBN: 978-1-61284-766-5. Pp. 661-667.
-
(2011)
Proceedings of the IEEE International Conference on Computational Intelligence and Computing Research (ICCIC'2011)
, pp. 661-667
-
-
Jacob, S.G.1
Geetha Ramani, R.2
Nancy, P.3
-
25
-
-
79954616130
-
Prediction of antimicrobial peptides based on sequence alignment and feature selection methods
-
Wang P, Hu L, Liu G, Jiang N, Chen X, et al. (2011) Prediction of antimicrobial peptides based on sequence alignment and feature selection methods. PLoS One 6: e18476.
-
(2011)
PLoS One
, vol.6
-
-
Wang, P.1
Hu, L.2
Liu, G.3
Jiang, N.4
Chen, X.5
-
27
-
-
78650746655
-
Cell-PLoc 2.0: An improved package of web-servers for predicting sub cellular localization of proteins in various organisms
-
(Openly accessible at)
-
Chou KC, Shen HB, (2010) Cell-PLoc 2.0: An improved package of web-servers for predicting sub cellular localization of proteins in various organisms. Natural Science 2: 1090-1103 (Openly accessible at http://www.scirp.org/journal/NS/).
-
(2010)
Natural Science
, vol.2
, pp. 1090-1103
-
-
Chou, K.C.1
Shen, H.B.2
-
28
-
-
79951518208
-
Some remarks on protein attribute prediction and pseudo amino acid composition (50th Anniversary Year Review)
-
Chou KC, (2011) Some remarks on protein attribute prediction and pseudo amino acid composition (50th Anniversary Year Review). Journal of Theoretical Biology 273: 236-247.
-
(2011)
Journal of Theoretical Biology
, vol.273
, pp. 236-247
-
-
Chou, K.C.1
-
29
-
-
84873916153
-
-
University of California, Irvine (UCI, Irvine) Machine Learning Repository, Accessed October 10 2012
-
University of California, Irvine (UCI, Irvine) Machine Learning Repository. Available: http://archive.ics.uci.edu/ml/datasets/p53Mutants. Accessed October 10 2012.
-
-
-
-
30
-
-
70349671213
-
Predicting positive p53 cancer rescue regions using Most Informative Positive (MIP) active learning
-
Danziger SA, Baronio R, Ho L, Hall L, Salmon K, et al. (2009) Predicting positive p53 cancer rescue regions using Most Informative Positive (MIP) active learning. PLoS Comput Biol 5: e1000498.
-
(2009)
PLoS Comput Biol
, vol.5
-
-
Danziger, S.A.1
Baronio, R.2
Ho, L.3
Hall, L.4
Salmon, K.5
-
31
-
-
34547875776
-
Choosing where to look next in a mutation sequence space: Active Learning of informative p53 cancer rescue mutants
-
Danziger SA, Zeng J, Wang Y, Brachmann RK, Lathrop RH, (2007) Choosing where to look next in a mutation sequence space: Active Learning of informative p53 cancer rescue mutants. Bioinformatics 23: i104-114.
-
(2007)
Bioinformatics
, vol.23
-
-
Danziger, S.A.1
Zeng, J.2
Wang, Y.3
Brachmann, R.K.4
Lathrop, R.H.5
-
32
-
-
33646752804
-
Functional census of mutation sequence spaces: the example of p53 cancer rescue mutants
-
Danziger SA, Swamidass SJ, Zeng J, Dearth LR, Lu Q, et al. (2006) Functional census of mutation sequence spaces: the example of p53 cancer rescue mutants. IEEE/ACM Trans Comput Biol Bioinform 3: 114-125.
-
(2006)
IEEE/ACM Trans Comput Biol Bioinform
, vol.3
, pp. 114-125
-
-
Danziger, S.A.1
Swamidass, S.J.2
Zeng, J.3
Dearth, L.R.4
Lu, Q.5
-
33
-
-
0036771626
-
Accelerated Poisson-Boltzmann Calculations for Static and Dynamic Systems
-
2002
-
Luo R, David L, Gilson MK (2002) Accelerated Poisson-Boltzmann Calculations for Static and Dynamic Systems. J. Computational Chemistry, vol. 23, pp.1244-1253, 2002.
-
(2002)
J. Computational Chemistry
, vol.23
, pp. 1244-1253
-
-
Luo, R.1
David, L.2
Gilson, M.K.3
-
34
-
-
84873885421
-
-
Predictive Analytics Software (SPSS), Accessed 2012 Nov 2
-
Predictive Analytics Software (SPSS), www.ibm.com/software/analytics/spss.Accessed 2012 Nov 2.
-
-
-
-
35
-
-
84873909200
-
-
Waikato Environment for Knowledge Analysis (WEKA) Machine Learning Tool, Accessed 2012 Nov 5
-
Waikato Environment for Knowledge Analysis (WEKA) Machine Learning Tool, http://www.cs.waikato.ac.nz/ml/weka/.Accessed 2012 Nov 5.
-
-
-
-
37
-
-
0004255908
-
-
Tata Mc-Graw Hill, pages. ISBN 0070428077
-
Mitchell T (1997) Machine Learning. Tata Mc-Graw Hill. 414 pages. ISBN 0070428077.
-
(1997)
Machine Learning
, pp. 414
-
-
Mitchell, T.1
-
38
-
-
84873929130
-
-
Tanagra Data Mining tutorials, Accessed 2012 Nov 15 This website provides detailed information on the basics of Data Mining Algorithms
-
Tanagra Data Mining tutorials, http://data-mining-tutorials.blogspot.com/.Accessed 2012 Nov 15 This website provides detailed information on the basics of Data Mining Algorithms.
-
-
-
-
39
-
-
84873918743
-
-
CMP: Data Mining and Statistics within the Health Services, Dr. Wenjia Wang: Tutorial for DM tool Weka Information Gain Criterion, Accessed 2012 Nov 1
-
CMP: Data Mining and Statistics within the Health Services, Dr. Wenjia Wang: Tutorial for DM tool Weka Information Gain Criterion, https://blog.itu.dk/SPVC-E2010/files/2010/11/wekatutorial.pdf. Accessed 2012 Nov 1.
-
-
-
-
42
-
-
79955705393
-
Combined Feature Selection and classification - A novel approach for the categorization of web pages
-
Selvakuberan K, Indradevi M, Rajaram R (2008) Combined Feature Selection and classification - A novel approach for the categorization of web pages. Journal of Information and Computing Science Vol. 3, No. 2, 083-089.
-
(2008)
Journal of Information and Computing Science
, vol.3
, Issue.2
, pp. 083-089
-
-
Selvakuberan, K.1
Indradevi, M.2
Rajaram, R.3
-
43
-
-
34548439881
-
Using Chou's amphiphilic pseudo amino acid composition and support vector machine for prediction of enzyme subfamily classes
-
Zhou XB, Chen C, Li ZC, Zou XY, (2007) Using Chou's amphiphilic pseudo amino acid composition and support vector machine for prediction of enzyme subfamily classes. Journal of Theoretical Biology 248: 546-551.
-
(2007)
Journal of Theoretical Biology
, vol.248
, pp. 546-551
-
-
Zhou, X.B.1
Chen, C.2
Li, Z.C.3
Zou, X.Y.4
-
44
-
-
78149247827
-
Prediction of protein sub mitochondria locations based on data fusion of various features of sequences
-
Zakeri P, Moshiri B, Sadeghi M, (2011) Prediction of protein sub mitochondria locations based on data fusion of various features of sequences. Journal of Theoretical Biology 269: 208-216.
-
(2011)
Journal of Theoretical Biology
, vol.269
, pp. 208-216
-
-
Zakeri, P.1
Moshiri, B.2
Sadeghi, M.3
-
45
-
-
77958497871
-
Prediction of cyclin proteins using Chou's pseudo amino acid composition
-
Mohabatkar H, (2010) Prediction of cyclin proteins using Chou's pseudo amino acid composition. Protein & Peptide Letters 17: 1207-1214.
-
(2010)
Protein & Peptide Letters
, vol.17
, pp. 1207-1214
-
-
Mohabatkar, H.1
-
46
-
-
77951992931
-
Prediction of G-Protein-Coupled Receptor Classes in Low Homology Using Chou's Pseudo Amino Acid Composition with Approximate Entropy and Hydrophobicity Patterns
-
Gu Q, Ding YS, Zhang TL, (2010) Prediction of G-Protein-Coupled Receptor Classes in Low Homology Using Chou's Pseudo Amino Acid Composition with Approximate Entropy and Hydrophobicity Patterns. Protein & Peptide Letters 17: 559-567.
-
(2010)
Protein & Peptide Letters
, vol.17
, pp. 559-567
-
-
Gu, Q.1
Ding, Y.S.2
Zhang, T.L.3
-
47
-
-
77958505121
-
Characteristic peptides of protein secondary structural motifs
-
Joshi RR, Sekharan S, (2010) Characteristic peptides of protein secondary structural motifs. Protein & Peptide Letters 17: 1198-1206.
-
(2010)
Protein & Peptide Letters
, vol.17
, pp. 1198-1206
-
-
Joshi, R.R.1
Sekharan, S.2
-
48
-
-
78649756877
-
Predicting membrane protein types by fusing composite protein sequence features into pseudo amino acid composition
-
Hayat M, Khan A, (2011) Predicting membrane protein types by fusing composite protein sequence features into pseudo amino acid composition. Journal of Theoretical Biology 271: 10-17.
-
(2011)
Journal of Theoretical Biology
, vol.271
, pp. 10-17
-
-
Hayat, M.1
Khan, A.2
-
49
-
-
78649326452
-
AFP-Pred: A random forest approach for predicting antifreeze proteins from sequence-derived properties
-
Kandaswamy KK, Chou KC, Martinetz T, Moller S, Suganthan PN, et al. (2011) AFP-Pred: A random forest approach for predicting antifreeze proteins from sequence-derived properties. Journal of Theoretical Biology 270: 56-62.
-
(2011)
Journal of Theoretical Biology
, vol.270
, pp. 56-62
-
-
Kandaswamy, K.K.1
Chou, K.C.2
Martinetz, T.3
Moller, S.4
Suganthan, P.N.5
-
50
-
-
11944266539
-
Information Theory and Statistical Mechanics
-
May, Bibcode 1957PhRv.106.620J. doi:10.1103/PhysRev.106.620
-
Jaynes ET (May 1957) Information Theory and Statistical Mechanics. Physical Review106 (4): 620-630. Bibcode 1957PhRv.106.620J. doi:10.1103/PhysRev.106.620.
-
(1957)
Physical Review
, vol.106
, Issue.4
, pp. 620-630
-
-
Jaynes, E.T.1
-
51
-
-
79955076643
-
Supervised Machine Learning: A Review of Classification Techniques
-
Kotsiantis SB (2007) Supervised Machine Learning: A Review of Classification Techniques. Informatica 31249-268.
-
(2007)
Informatica
, pp. 31249-31268
-
-
Kotsiantis, S.B.1
-
52
-
-
85065198637
-
Induction of One-Level Decision Trees, in ML92
-
Aberdeen, Scotland, 1-3 July 1992, San Francisco, CA: Morgan Kaufmann
-
Wayne I, Pat L (1992) Induction of One-Level Decision Trees, in ML92. Proceedings of the Ninth International Conference on Machine Learning, Aberdeen, Scotland, 1-3 July 1992, San Francisco, CA: Morgan Kaufmann, 233-240.
-
(1992)
Proceedings of the Ninth International Conference on Machine Learning
, pp. 233-240
-
-
Wayne, I.1
Pat, L.2
-
53
-
-
85027395348
-
Averaging Over Decision Stumps in Machine Learning. ECML-94
-
Catania, Italy. Proceedings, Lecture Notes in Computer Science (LNCS) 784, Springer, 231-241 ISBN 3-540-57868-4 doi:10.1007/3-540-57868-4-61
-
Oliver JJ, Hand D (1994) Averaging Over Decision Stumps in Machine Learning. ECML-94, European Conference on Machine Learning, Catania, Italy. Proceedings, Lecture Notes in Computer Science (LNCS) 784, Springer, 231-241 ISBN 3-540-57868-4 doi:10.1007/3-540-57868-4-61.
-
(1994)
European Conference on Machine Learning
-
-
Oliver, J.J.1
Hand, D.2
-
54
-
-
84983110889
-
A Decision-Theoretic Generalization of on-Line Learning and Application to Boosting
-
10.1.1.56.9855
-
Freund Y, Schapire RE (1995) A Decision-Theoretic Generalization of on-Line Learning and Application to Boosting. CiteSeerX: 10.1.1.56.9855.
-
(1995)
CiteSeerX
-
-
Freund, Y.1
Schapire, R.E.2
-
55
-
-
4644257995
-
Statistical behaviour and consistency of classification methods based on convex risk minimization
-
Zhang T (2004) Statistical behaviour and consistency of classification methods based on convex risk minimization. Annals of Statistics 32 (1), 56-85.
-
(2004)
Annals of Statistics
, vol.32
, Issue.1
, pp. 56-85
-
-
Zhang, T.1
-
56
-
-
33748611921
-
A tutorial article on ensemble systems including pseudocode, block diagrams and implementation issues for AdaBoost and other ensemble learning algorithms
-
Polikar R, (2006) A tutorial article on ensemble systems including pseudocode, block diagrams and implementation issues for AdaBoost and other ensemble learning algorithms. IEEE Circuits and Systems Magazine. 6: 21-45.
-
(2006)
IEEE Circuits and Systems Magazine
, vol.6
, pp. 21-45
-
-
Polikar, R.1
-
58
-
-
84873893086
-
Additive logistic regression: a statistical view of boosting
-
10.1.1.51.9525
-
Friedman J, Hastie T, Tibshirani R (1998) Additive logistic regression: a statistical view of boosting. CiteSeerX: 10.1.1.51.9525.
-
(1998)
CiteSeerX
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
60
-
-
84863325623
-
Efficient Classifier for Classification of Hepatitis C Virus Clinical Data through Data Mining Algorithms and Techniques
-
Pondicherry, India, Techno Forum Group, India. ISBN: 978-81-920575-8-3: DOI: 10.73445/ISBN-0768, ACM#.dber.imera.10.73445
-
Jacob SG, Geetha Ramani R, Nancy P (2012) Efficient Classifier for Classification of Hepatitis C Virus Clinical Data through Data Mining Algorithms and Techniques. Proceedings of the International Conference on Computer Applications, Pondicherry, India, Techno Forum Group, India. ISBN: 978-81-920575-8-3: DOI: 10.73445/ISBN-0768, ACM#.dber.imera.10.73445.
-
(2012)
Proceedings of the International Conference on Computer Applications
-
-
Jacob, S.G.1
Geetha Ramani, R.2
Nancy, P.3
-
61
-
-
84866141625
-
Mining of Classification Patterns in Clinical Data through Data Mining Algorithms
-
ACM New York, NY, USA ©2012 table of contents ISBN: 978-1-4503-1196-0 doi>10.1145/2345396.2345557
-
Jacob SG, Geetha Ramani R (2012) Mining of Classification Patterns in Clinical Data through Data Mining Algorithms. Proceedings of the International Conference on Advances in Computing, Communications and Informatics, Pages 997-1003 ACM New York, NY, USA ©2012 table of contents ISBN: 978-1-4503-1196-0 doi>10.1145/2345396.2345557.
-
(2012)
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
, pp. 997-1003
-
-
Jacob, S.G.1
Geetha Ramani, R.2
-
62
-
-
84863328721
-
Evolving Efficient Classification Rules from Cardiotocography Data through Data Mining Methods and Techniques
-
Jacob SG, Geetha Ramani R (2012) Evolving Efficient Classification Rules from Cardiotocography Data through Data Mining Methods and Techniques. European Journal of Scientific Research, Vol.78 No.3, 468-480.
-
(2012)
European Journal of Scientific Research
, vol.78
, Issue.3
, pp. 468-480
-
-
Jacob, S.G.1
Geetha Ramani, R.2
-
63
-
-
84873920001
-
-
Notes prepared for the Cornell Summer School in Probability, July 11- July 22, 2005
-
Le Gall J-F (2005) Random Trees and Applications.Notes prepared for the Cornell Summer School in Probability, July 11- July 22, 2005.
-
(2005)
Random Trees and Applications
-
-
Le Gall, J.-F.1
-
65
-
-
84873893536
-
-
Association for the advancement of artificial intelligence, Coconut Grove, Florida. May 15-17, 2008. Published by The AAAI Press, Menlo Park, California
-
Ray A, Kumar V, Ravindran B, Gopal L, Verma A (2008) Machine Learning to predict the incidence of Retinopathy of Prematurity. Association for the advancement of artificial intelligence, Coconut Grove, Florida. May 15-17, 2008. Published by The AAAI Press, Menlo Park, California.
-
(2008)
Machine Learning to predict the incidence of Retinopathy of Prematurity
-
-
Ray, A.1
Kumar, V.2
Ravindran, B.3
Gopal, L.4
Verma, A.5
-
66
-
-
1842743412
-
Automated annotation of keywords for proteins related to mycoplas-mataceae using machine learning techniques
-
Bazzan AL, Engel PM, Schroeder LF, da Silva SC, (2002) Automated annotation of keywords for proteins related to mycoplas-mataceae using machine learning techniques. Bioinformatics 18: 35S-43S.
-
(2002)
Bioinformatics
, vol.18
-
-
Bazzan, A.L.1
Engel, P.M.2
Schroeder, L.F.3
da Silva, S.C.4
-
70
-
-
0033707946
-
Friedman N, Linial M, Nachman I, Pe'er D (August 2000) Using Bayesian Networks to Analyze Expression Data
-
(Larchmont, New York: Mary Ann Liebert, Inc.), doi: 10.1089/106652700750050961, ISSN 1066-5277.PMID 11108481
-
Friedman N, Linial M, Nachman I, Pe'er D (August 2000) Using Bayesian Networks to Analyze Expression Data. Journal of Computational Biology (Larchmont, New York: Mary Ann Liebert, Inc.) 7 (3/4): 601-620 doi:10.1089/106652700750050961. ISSN 1066-5277.PMID 11108481.
-
Journal of Computational Biology
, vol.7
, Issue.3-4
, pp. 601-620
-
-
-
71
-
-
79954988537
-
Learning Genetic Epistasis using Bayesian Network Scoring Criteria
-
doi: 10.1186/1471-2105-12-89, PMC 3080825. PMID 21453508
-
Jiang X, Neapolitan RE, Barmada MM, Visweswaran S, (2011) Learning Genetic Epistasis using Bayesian Network Scoring Criteria. BMC Bioinformatics 12: 89 doi:10.1186/1471-2105-12-89. PMC 3080825. PMID 21453508.
-
(2011)
BMC Bioinformatics
, vol.12
, pp. 89
-
-
Jiang, X.1
Neapolitan, R.E.2
Barmada, M.M.3
Visweswaran, S.4
-
72
-
-
0039720669
-
-
New York, NY: Chapman and Hall. ISBN 0-412-03471-9
-
Geisser S (1993) Predictive Inference. New York, NY: Chapman and Hall. ISBN 0-412-03471-9.
-
(1993)
Predictive Inference
-
-
Geisser, S.1
-
74
-
-
47649096991
-
Structural Biology of the Tumor Suppressor p53
-
Joerger AC, Fersht AR, (2008) Structural Biology of the Tumor Suppressor p53. Annu. Rev. Biochem (77):: 557-82.
-
(2008)
Annu. Rev. Biochem
, Issue.77
, pp. 557-582
-
-
Joerger, A.C.1
Fersht, A.R.2
-
75
-
-
0037816165
-
Understanding the function-structure and function-mutation relationships of p53 tumor suppressor protein by high-resolution missense mutation analysis
-
Kato S, Han SY, Liu W, Otsuka K, Shibata H, et al. (2003) Understanding the function-structure and function-mutation relationships of p53 tumor suppressor protein by high-resolution missense mutation analysis. Proc Natl Acad Sci U S A 100: 8424-8429.
-
(2003)
Proc Natl Acad Sci U S A
, vol.100
, pp. 8424-8429
-
-
Kato, S.1
Han, S.Y.2
Liu, W.3
Otsuka, K.4
Shibata, H.5
-
76
-
-
67649832959
-
p53: Structure, Function and Therapeutic Applications
-
Bai L, Zhu W-G, (2006) p53: Structure, Function and Therapeutic Applications. Journal of Cancer Molecules 2(4): 141-153.
-
(2006)
Journal of Cancer Molecules
, vol.2
, Issue.4
, pp. 141-153
-
-
Bai, L.1
Zhu, W.-G.2
-
77
-
-
77955199287
-
Analysis and prediction of the metabolic stability of proteins based on their sequential features, sub cellular locations and interaction networks
-
Huang T, Shi XH, Wang P, He Z, Feng KY, et al. (2010) Analysis and prediction of the metabolic stability of proteins based on their sequential features, sub cellular locations and interaction networks. PLoS ONE 5(6): e10972.
-
(2010)
PLoS ONE
, vol.5
, Issue.6
-
-
Huang, T.1
Shi, X.H.2
Wang, P.3
He, Z.4
Feng, K.Y.5
-
78
-
-
77955645823
-
Prediction of Deleterious Non-Synonymous SNPs Based on Protein Interaction Network and Hybrid Properties
-
Huang T, Wang P, Ye ZQ, Xu H, He Z, et al. (2010) Prediction of Deleterious Non-Synonymous SNPs Based on Protein Interaction Network and Hybrid Properties. PLoS ONE 5(7): e11900.
-
(2010)
PLoS ONE
, vol.5
, Issue.7
-
-
Huang, T.1
Wang, P.2
Ye, Z.Q.3
Xu, H.4
He, Z.5
-
79
-
-
79251548286
-
Analysis and prediction of translation rate based on sequence and functional features of the mRNA
-
Huang T, Wan S, Xu Z, Zheng Y, Feng KY, et al. (2011) Analysis and prediction of translation rate based on sequence and functional features of the mRNA. PLoS ONE 2011 6(1): e16036.
-
(2011)
PLoS ONE 2011
, vol.6
, Issue.1
-
-
Huang, T.1
Wan, S.2
Xu, Z.3
Zheng, Y.4
Feng, K.Y.5
|