-
1
-
-
63149139219
-
Gene selection in cancer classification using PSO/SVM and GA/SVM hybrid algorithms
-
Alba E, et al. Gene selection in cancer classification using PSO/SVM and GA/SVM hybrid algorithms. IEEE C Evol Computat 2007, 9:284-290.
-
(2007)
IEEE C Evol Computat
, vol.9
, pp. 284-290
-
-
Alba, E.1
-
2
-
-
45749096693
-
Gene selection using hybrid particle swarm optimization and genetic algorithm
-
Li S, Wu X, Tan M. Gene selection using hybrid particle swarm optimization and genetic algorithm. Soft Comput 2008, 12:1039-1048.
-
(2008)
Soft Comput
, vol.12
, pp. 1039-1048
-
-
Li, S.1
Wu, X.2
Tan, M.3
-
3
-
-
9644265275
-
A feature selection technique for classificatory analysis
-
Ahmad A, Dey L. A feature selection technique for classificatory analysis. Pattern Recogn Lett 2005, 26:43-56.
-
(2005)
Pattern Recogn Lett
, vol.26
, pp. 43-56
-
-
Ahmad, A.1
Dey, L.2
-
4
-
-
0042388208
-
RankGene: identification of diagnostic genes based on expression data
-
10.1093/bioinformatics/btg179, 12912841
-
Su Y, Murali TM, et al. RankGene: identification of diagnostic genes based on expression data. Bioinformatics 2003, 19:1578-1579. 10.1093/bioinformatics/btg179, 12912841.
-
(2003)
Bioinformatics
, vol.19
, pp. 1578-1579
-
-
Su, Y.1
Murali, T.M.2
-
5
-
-
0031381525
-
Wrapper for feature subset selection
-
Kahavi R, John GH. Wrapper for feature subset selection. Artif Intell 1997, 97:273-324.
-
(1997)
Artif Intell
, vol.97
, pp. 273-324
-
-
Kahavi, R.1
John, G.H.2
-
6
-
-
2542596956
-
Gene mining: a novel and powerful ensemble decision approach to hunting for disease genes using microarray expression profiling
-
10.1093/nar/gkh563, 419591, 15148356
-
Li X, Rao S, Wang Y, Gong B. Gene mining: a novel and powerful ensemble decision approach to hunting for disease genes using microarray expression profiling. Nucleic Acids Res 2004, 32:2685-2694. 10.1093/nar/gkh563, 419591, 15148356.
-
(2004)
Nucleic Acids Res
, vol.32
, pp. 2685-2694
-
-
Li, X.1
Rao, S.2
Wang, Y.3
Gong, B.4
-
7
-
-
26944462332
-
A novel approach to extracting features from motif content and protein composition for protein sequence classification
-
10.1016/j.neunet.2005.07.002, 16153801
-
Zhao XM, Cheung YM, Huang DS. A novel approach to extracting features from motif content and protein composition for protein sequence classification. Neural Netw 2005, 18:1019-1028. 10.1016/j.neunet.2005.07.002, 16153801.
-
(2005)
Neural Netw
, vol.18
, pp. 1019-1028
-
-
Zhao, X.M.1
Cheung, Y.M.2
Huang, D.S.3
-
8
-
-
0034602774
-
Knowledge-based analysis of microarray gene expression data by using support vector machines
-
10.1073/pnas.97.1.262, 26651, 10618406
-
Brown MP, et al. Knowledge-based analysis of microarray gene expression data by using support vector machines. Proc Natl Acad Sci U S A 2000, 97:262-267. 10.1073/pnas.97.1.262, 26651, 10618406.
-
(2000)
Proc Natl Acad Sci U S A
, vol.97
, pp. 262-267
-
-
Brown, M.P.1
-
9
-
-
47049127967
-
Sparse kernel methods for high-dimensional survival data
-
10.1093/bioinformatics/btn253, 18515276
-
Evers L, Messow CM. Sparse kernel methods for high-dimensional survival data. Bioinformatics 2008, 24:1632-1638. 10.1093/bioinformatics/btn253, 18515276.
-
(2008)
Bioinformatics
, vol.24
, pp. 1632-1638
-
-
Evers, L.1
Messow, C.M.2
-
10
-
-
0035957531
-
A novel method of protein secondary structure prediction with high segment overlap measure: support vector machine approach
-
10.1006/jmbi.2001.4580, 11327775
-
Hua S, Sun Z. A novel method of protein secondary structure prediction with high segment overlap measure: support vector machine approach. J Mol Biol 2001, 308:397-407. 10.1006/jmbi.2001.4580, 11327775.
-
(2001)
J Mol Biol
, vol.308
, pp. 397-407
-
-
Hua, S.1
Sun, Z.2
-
11
-
-
65449183360
-
A kernel-based approach for detecting outliers of high-dimensional biological data
-
Oh JH, Gao J. A kernel-based approach for detecting outliers of high-dimensional biological data. BMC Bioinforma 2009, 10:S7.
-
(2009)
BMC Bioinforma
, vol.10
-
-
Oh, J.H.1
Gao, J.2
-
12
-
-
2942541354
-
Feature selection for splice site prediction: a new method using EDA-based feature ranking
-
Saeys Y, et al. Feature selection for splice site prediction: a new method using EDA-based feature ranking. BMC Bioinforma 2004, 5:64.
-
(2004)
BMC Bioinforma
, vol.5
, pp. 64
-
-
Saeys, Y.1
-
13
-
-
60849121073
-
Network-based support vector machine for classification of microarray samples
-
Zhu Y, Shen X, Pan W. Network-based support vector machine for classification of microarray samples. BMC Bioinforma 2009, 10:S21.
-
(2009)
BMC Bioinforma
, vol.10
-
-
Zhu, Y.1
Shen, X.2
Pan, W.3
-
14
-
-
0035664710
-
Gene assessment and sample classification for gene expression data using a genetic algorithm/k-nearest neighbor method
-
Li L, Darden TA, et al. Gene assessment and sample classification for gene expression data using a genetic algorithm/k-nearest neighbor method. Comb Chem High T Scr 2001, 4:727-739.
-
(2001)
Comb Chem High T Scr
, vol.4
, pp. 727-739
-
-
Li, L.1
Darden, T.A.2
-
15
-
-
20844445085
-
A robust hybrid between genetic algorithm and support vector machine for extracting an optimal feature gene subset
-
10.1016/j.ygeno.2004.09.007, 15607418
-
Li L, Jiang W, et al. A robust hybrid between genetic algorithm and support vector machine for extracting an optimal feature gene subset. Genomics 2005, 85:16-23. 10.1016/j.ygeno.2004.09.007, 15607418.
-
(2005)
Genomics
, vol.85
, pp. 16-23
-
-
Li, L.1
Jiang, W.2
-
18
-
-
84867704520
-
Particle swarm optimization for feature selection with application in obstructive sleep apnea diagnosis
-
Chen LF, et al. Particle swarm optimization for feature selection with application in obstructive sleep apnea diagnosis. Neural Comput Appl 2011, 21(8):2087-2096.
-
(2011)
Neural Comput Appl
, vol.21
, Issue.8
, pp. 2087-2096
-
-
Chen, L.F.1
-
20
-
-
37549069306
-
Hybrid particle swarm optimization and tabu search approach for selecting genes for tumor classification using gene expression data
-
Shen Q, Shi WM, Kong W. Hybrid particle swarm optimization and tabu search approach for selecting genes for tumor classification using gene expression data. Comput Biol Chem 2008, 32:52-59.
-
(2008)
Comput Biol Chem
, vol.32
, pp. 52-59
-
-
Shen, Q.1
Shi, W.M.2
Kong, W.3
-
21
-
-
37549018049
-
Top 10 algorithms in data mining
-
Wu X, et al. Top 10 algorithms in data mining. Knowl Inf Syst 2008, 14:1-37.
-
(2008)
Knowl Inf Syst
, vol.14
, pp. 1-37
-
-
Wu, X.1
-
22
-
-
77955287981
-
Microarray meta-analysis database (M2DB): a uniformly pre-processed, quality controlled, and manually curated human clinical microarray database
-
Cheng WC, et al. Microarray meta-analysis database (M2DB): a uniformly pre-processed, quality controlled, and manually curated human clinical microarray database. BMC Bioinforma 2010, 11:421.
-
(2010)
BMC Bioinforma
, vol.11
, pp. 421
-
-
Cheng, W.C.1
-
23
-
-
84897670910
-
-
GEMS Dataset
-
GEMS Dataset 2012, http://www.gems-system.org/, GEMS Dataset.
-
(2012)
-
-
-
24
-
-
0036489046
-
Comparison of discrimination methods for the classification of tumors using gene expression data
-
Dudoit S, Fridlyand J, Speed TP. Comparison of discrimination methods for the classification of tumors using gene expression data. J Am Stat Assoc 2002, 97:77-86.
-
(2002)
J Am Stat Assoc
, vol.97
, pp. 77-86
-
-
Dudoit, S.1
Fridlyand, J.2
Speed, T.P.3
-
25
-
-
34547596338
-
MiPred: classification of real and pseudo microRNA precursors using random forest prediction modelwith combined features
-
10.1093/nar/gkm368, 1933124, 17553836
-
Jiang P, et al. MiPred: classification of real and pseudo microRNA precursors using random forest prediction modelwith combined features. Nucleic Acids Res 2007, 35:W339-W344. 10.1093/nar/gkm368, 1933124, 17553836.
-
(2007)
Nucleic Acids Res
, vol.35
-
-
Jiang, P.1
-
26
-
-
64549116289
-
MicroPred: effective classification of pre-miRNAs for human miRNA gene prediction
-
10.1093/bioinformatics/btp107, 19233894
-
Batuwita R, Palade V. MicroPred: effective classification of pre-miRNAs for human miRNA gene prediction. Bioinformatics 2009, 25:989-995. 10.1093/bioinformatics/btp107, 19233894.
-
(2009)
Bioinformatics
, vol.25
, pp. 989-995
-
-
Batuwita, R.1
Palade, V.2
-
27
-
-
79960697779
-
Predicting human microRNA precursors based on an optimized feature subset generated by GA-SVM
-
10.1016/j.ygeno.2011.04.011, 21586321
-
Wang Y, et al. Predicting human microRNA precursors based on an optimized feature subset generated by GA-SVM. Genomics 2011, 98:73-78. 10.1016/j.ygeno.2011.04.011, 21586321.
-
(2011)
Genomics
, vol.98
, pp. 73-78
-
-
Wang, Y.1
-
28
-
-
84859743404
-
Combining multiple approaches for gene microarray classification
-
Nanni L, Brahnam S, Lumini A. Combining multiple approaches for gene microarray classification. Bioinformatics 2008, 28:1151-1157.
-
(2008)
Bioinformatics
, vol.28
, pp. 1151-1157
-
-
Nanni, L.1
Brahnam, S.2
Lumini, A.3
-
29
-
-
77954199810
-
Inference of combinatorial Boolean rules of synergistic gene sets from cancer microarray datasets
-
10.1093/bioinformatics/btq207, 20410052
-
Park I, Lee KH, Lee D. Inference of combinatorial Boolean rules of synergistic gene sets from cancer microarray datasets. Bioinformatics 2010, 26:1506-1512. 10.1093/bioinformatics/btq207, 20410052.
-
(2010)
Bioinformatics
, vol.26
, pp. 1506-1512
-
-
Park, I.1
Lee, K.H.2
Lee, D.3
-
30
-
-
84894058413
-
-
Addison Wesley, Boston, MA, USA, 1
-
Tan PN, Steinbach M, Kumar V. Michael Steinbach, and Vipin Kumar. Introduction to Data Mining 2005, Addison Wesley, Boston, MA, USA, 1.
-
(2005)
Michael Steinbach, and Vipin Kumar. Introduction to Data Mining
-
-
Tan, P.N.1
Steinbach, M.2
Kumar, V.3
-
31
-
-
0034714421
-
Gene expression data analysis
-
10.1016/S0014-5793(00)01771-3, 10967322
-
Brazma A, Vilo J. Gene expression data analysis. FEBS Lett 2000, 480:2-16. 10.1016/S0014-5793(00)01771-3, 10967322.
-
(2000)
FEBS Lett
, vol.480
, pp. 2-16
-
-
Brazma, A.1
Vilo, J.2
-
32
-
-
0033569406
-
Molecular classification of cancer: class discovery and class prediction by gene expression monitoring
-
10.1126/science.286.5439.531, 10521349
-
Golub TR, et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science 1999, 286:531-527. 10.1126/science.286.5439.531, 10521349.
-
(1999)
Science
, vol.286
, pp. 531-1527
-
-
Golub, T.R.1
-
33
-
-
79956224731
-
A novel framework for gene selection
-
Zhao W, et al. A novel framework for gene selection. Int J Adv Comput Technol 2011, 3:184-191.
-
(2011)
Int J Adv Comput Technol
, vol.3
, pp. 184-191
-
-
Zhao, W.1
-
34
-
-
84897638541
-
-
TOM laboratory
-
TOM laboratory TOM laboratory 2013, http://tom.im.ntust.edu.tw/, TOM laboratory.
-
(2013)
TOM laboratory
-
-
-
35
-
-
0004222346
-
-
San Francisco, CA, USA: Morgan Kaufman
-
Kennedy J, Eberhart RC, Shi Y. Swarm Intelligence 2001, San Francisco, CA, USA: Morgan Kaufman.
-
(2001)
Swarm Intelligence
-
-
Kennedy, J.1
Eberhart, R.C.2
Shi, Y.3
-
36
-
-
0031700696
-
-
Anchorage Alaska: IEEE International Conference on Evolutionary Computation
-
Shi Y, Eberhart RC. A Modified Particle Swarm Optimizer 1998, 69-73. Anchorage Alaska: IEEE International Conference on Evolutionary Computation.
-
(1998)
A Modified Particle Swarm Optimizer
, pp. 69-73
-
-
Shi, Y.1
Eberhart, R.C.2
-
37
-
-
17844387127
-
Neighbor-weighted k-nearest neighbor for unbalanced text corpus
-
Tan S. Neighbor-weighted k-nearest neighbor for unbalanced text corpus. Expert Syst Appl 2005, 28:667-671.
-
(2005)
Expert Syst Appl
, vol.28
, pp. 667-671
-
-
Tan, S.1
-
38
-
-
0000629975
-
Cross-validatory choice and assessment of statistica predictions
-
Stone M. Cross-validatory choice and assessment of statistica predictions. J Royal Stat Soc 1974, 36:111-147.
-
(1974)
J Royal Stat Soc
, vol.36
, pp. 111-147
-
-
Stone, M.1
-
39
-
-
84950645271
-
The predictive sample reuse method with applications
-
Geisser S. The predictive sample reuse method with applications. J Am Stat Assoc 1975, 70:320-328.
-
(1975)
J Am Stat Assoc
, vol.70
, pp. 320-328
-
-
Geisser, S.1
-
40
-
-
0007318509
-
The shrinkage of the coefficient of multiple correlation
-
Larson S. The shrinkage of the coefficient of multiple correlation. J Educat Psychol 1931, 22:45-55.
-
(1931)
J Educat Psychol
, vol.22
, pp. 45-55
-
-
Larson, S.1
-
42
-
-
0000406912
-
Inference in an authorship problem
-
Mosteller F, Wallace DL. Inference in an authorship problem. J Am Stat Assoc 1963, 58:275-309.
-
(1963)
J Am Stat Assoc
, vol.58
, pp. 275-309
-
-
Mosteller, F.1
Wallace, D.L.2
-
43
-
-
34249753618
-
Support-vector networks
-
Cortes C, Vapnik V. Support-vector networks. Mach Learn 1995, 20:273-297.
-
(1995)
Mach Learn
, vol.20
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
|