-
1
-
-
84878537900
-
Analysis of differentially expressed genes in ductal carcinoma with DNA microarray
-
Zhang B.-H., Liu J., Zhou Q.-X., Zuo D., Wang Y. Analysis of differentially expressed genes in ductal carcinoma with DNA microarray. Eur Rev Med Pharmacol Sci 2013, 17(6):758-766.
-
(2013)
Eur Rev Med Pharmacol Sci
, vol.17
, Issue.6
, pp. 758-766
-
-
Zhang, B.-H.1
Liu, J.2
Zhou, Q.-X.3
Zuo, D.4
Wang, Y.5
-
2
-
-
84879015632
-
Batch effects and pathway analysis: two potential perils in cancer studies involving DNA Methylation array analysis
-
Harper K.N., Peters B., Gamble M.V. Batch effects and pathway analysis: two potential perils in cancer studies involving DNA Methylation array analysis. Cancer Epidemiol Biomarkers Prevent 2013, 22(6):1052-1060.
-
(2013)
Cancer Epidemiol Biomarkers Prevent
, vol.22
, Issue.6
, pp. 1052-1060
-
-
Harper, K.N.1
Peters, B.2
Gamble, M.V.3
-
3
-
-
84878876131
-
American college of medical genetics and genomics technical standards and guidelines: microarray analysis for chromosome abnormalities in neoplastic disorders
-
Cooley L.D., Lebo M., Li M.M., Slovak M.L., Wolff D.J. American college of medical genetics and genomics technical standards and guidelines: microarray analysis for chromosome abnormalities in neoplastic disorders. Genetics Med 2013, 15(6):484-494.
-
(2013)
Genetics Med
, vol.15
, Issue.6
, pp. 484-494
-
-
Cooley, L.D.1
Lebo, M.2
Li, M.M.3
Slovak, M.L.4
Wolff, D.J.5
-
4
-
-
37849021093
-
Constructing the gene regulation-level representation of microarray data for cancer classification
-
Wong H.-S., Wang H.-Q. Constructing the gene regulation-level representation of microarray data for cancer classification. J Biomed Inform 2008, 41(1):95-105.
-
(2008)
J Biomed Inform
, vol.41
, Issue.1
, pp. 95-105
-
-
Wong, H.-S.1
Wang, H.-Q.2
-
5
-
-
0242295767
-
Bayesian factor regression models in the large p, small n paradigm
-
West M. Bayesian factor regression models in the large p, small n paradigm. Bayesian Stat 2003, 7(2003):723-732.
-
(2003)
Bayesian Stat
, vol.7
, Issue.2003
, pp. 723-732
-
-
West, M.1
-
6
-
-
84873206321
-
An evolutionary computational model applied to cluster analysis of DNA microarray data
-
Castellanos-Garzón J.A., Díaz F. An evolutionary computational model applied to cluster analysis of DNA microarray data. Expert Syst Appl 2013, 40(7):2575-2591.
-
(2013)
Expert Syst Appl
, vol.40
, Issue.7
, pp. 2575-2591
-
-
Castellanos-Garzón, J.A.1
Díaz, F.2
-
7
-
-
84879518789
-
An efficient clustering-classification method in an information gain NRGA-KNN algorithm for feature election of micro array data
-
Sungheetha A., Suganthi J. An efficient clustering-classification method in an information gain NRGA-KNN algorithm for feature election of micro array data. Life Sci J 2013, 10(Suppl. 7):691-700.
-
(2013)
Life Sci J
, vol.10
, Issue.SUPPL. 7
, pp. 691-700
-
-
Sungheetha, A.1
Suganthi, J.2
-
8
-
-
84878780754
-
Gene expression rule discovery and multi-objective ROC analysis using a neural-genetic hybrid
-
Keedwell E., Narayanan A. Gene expression rule discovery and multi-objective ROC analysis using a neural-genetic hybrid. Int J Data Mining Bioinform 2013, 7(4):376-396.
-
(2013)
Int J Data Mining Bioinform
, vol.7
, Issue.4
, pp. 376-396
-
-
Keedwell, E.1
Narayanan, A.2
-
9
-
-
84876824699
-
Multiobjective optimization using genetic algorithm
-
Gupta S., Garg S. Multiobjective optimization using genetic algorithm. Adv Chem Eng 2013, 43:206-245.
-
(2013)
Adv Chem Eng
, vol.43
, pp. 206-245
-
-
Gupta, S.1
Garg, S.2
-
10
-
-
74649083315
-
Ensemble gene selection by grouping for microarray data classification
-
Liu H., Liu L., Zhang H. Ensemble gene selection by grouping for microarray data classification. J Biomed Inform 2010, 43(1):81-87.
-
(2010)
J Biomed Inform
, vol.43
, Issue.1
, pp. 81-87
-
-
Liu, H.1
Liu, L.2
Zhang, H.3
-
11
-
-
4744346660
-
Discovering significant and interpretable patterns from multifactorial DNA microarray data with poor replication
-
Kim J.H., Jeoung D., Lee S., Kim H. Discovering significant and interpretable patterns from multifactorial DNA microarray data with poor replication. J Biomed Inform 2004, 37(4):260-268.
-
(2004)
J Biomed Inform
, vol.37
, Issue.4
, pp. 260-268
-
-
Kim, J.H.1
Jeoung, D.2
Lee, S.3
Kim, H.4
-
12
-
-
4744365291
-
Comprehensive vertical sample-based KNN/LSVM classification for gene expression analysis
-
Pan F., Wang B., Hu X., Perrizo W. Comprehensive vertical sample-based KNN/LSVM classification for gene expression analysis. J Biomed Inform 2004, 37(4):240-248.
-
(2004)
J Biomed Inform
, vol.37
, Issue.4
, pp. 240-248
-
-
Pan, F.1
Wang, B.2
Hu, X.3
Perrizo, W.4
-
13
-
-
34547355032
-
Improving feature subset selection using a genetic algorithm for microarray gene expression data
-
Feng T, Xuezheng F, Yanqing Z, Bourgeois A. Improving feature subset selection using a genetic algorithm for microarray gene expression data. In: IEEE congress on evolutionary computation, CEC; 2006. p. 2529-34.
-
(2006)
IEEE congress on evolutionary computation, CEC
, pp. 2529-2534
-
-
Feng, T.1
Xuezheng, F.2
Yanqing, Z.3
Bourgeois, A.4
-
14
-
-
33751290510
-
Classification of breast cancer using genetic algorithms and tissue microarrays
-
Dolled-Filhart M., Rydén L., Cregger M., Jirström K., Harigopal M., Camp R., et al. Classification of breast cancer using genetic algorithms and tissue microarrays. Clin Cancer Res 2006, 12(21):6459-6468.
-
(2006)
Clin Cancer Res
, vol.12
, Issue.21
, pp. 6459-6468
-
-
Dolled-Filhart, M.1
Rydén, L.2
Cregger, M.3
Jirström, K.4
Harigopal, M.5
Camp, R.6
-
15
-
-
67749089529
-
A genetic algorithm approach to DNA microarrays analysis of pancreatic cancer
-
Melita N., Popescu I., Holban S. A genetic algorithm approach to DNA microarrays analysis of pancreatic cancer. Adv Electr Comput Eng 2008, 8(2):43-48.
-
(2008)
Adv Electr Comput Eng
, vol.8
, Issue.2
, pp. 43-48
-
-
Melita, N.1
Popescu, I.2
Holban, S.3
-
16
-
-
77955334667
-
A hybrid LDA and genetic algorithm for gene selection and classification of microarray data
-
Bonilla Huerta E., Duval B., Hao J.-K. A hybrid LDA and genetic algorithm for gene selection and classification of microarray data. Neurocomputing 2010, 73(13-15):2375-2383.
-
(2010)
Neurocomputing
, vol.73
, Issue.13-15
, pp. 2375-2383
-
-
Bonilla Huerta, E.1
Duval, B.2
Hao, J.-K.3
-
17
-
-
77954968496
-
Genetic algorithm and support vector machine-based gene microarray analysis
-
Liu H., Wang W. Genetic algorithm and support vector machine-based gene microarray analysis. J Clin Rehabil Tissue Eng Res 2010, 14(17):3099-3103.
-
(2010)
J Clin Rehabil Tissue Eng Res
, vol.14
, Issue.17
, pp. 3099-3103
-
-
Liu, H.1
Wang, W.2
-
18
-
-
79151474328
-
Gene selection and sample classification on microarray data based on adaptive genetic algorithm/k-nearest neighbor method
-
Lee C.-P., Lin W.-S., Chen Y.-M., Kuo B.-J. Gene selection and sample classification on microarray data based on adaptive genetic algorithm/k-nearest neighbor method. Expert Syst Appl 2011, 38(5):4661-4667.
-
(2011)
Expert Syst Appl
, vol.38
, Issue.5
, pp. 4661-4667
-
-
Lee, C.-P.1
Lin, W.-S.2
Chen, Y.-M.3
Kuo, B.-J.4
-
19
-
-
26844513469
-
Overfitting in wrapper-based feature subset selection: the harder you try the worse it gets
-
Springer, London, M. Bramer, F. Coenen, T. Allen (Eds.)
-
Loughrey J., Cunningham P. Overfitting in wrapper-based feature subset selection: the harder you try the worse it gets. Research and development in intelligent systems XXI 2005, 33-43. Springer, London. M. Bramer, F. Coenen, T. Allen (Eds.).
-
(2005)
Research and development in intelligent systems XXI
, pp. 33-43
-
-
Loughrey, J.1
Cunningham, P.2
-
20
-
-
79957606714
-
Robust feature selection for microarray data based on multicriterion fusion
-
Yang F., Mao K.Z. Robust feature selection for microarray data based on multicriterion fusion. IEEE/ACM Trans Comput Biol Bioinform 2011, 8(4):1080-1092.
-
(2011)
IEEE/ACM Trans Comput Biol Bioinform
, vol.8
, Issue.4
, pp. 1080-1092
-
-
Yang, F.1
Mao, K.Z.2
-
21
-
-
84878657683
-
Incorporating feature ranking and evolutionary methods for the classification of high-dimensional DNA microarray gene expression data
-
Abedini M., Kirley M., Chiong R. Incorporating feature ranking and evolutionary methods for the classification of high-dimensional DNA microarray gene expression data. Austr Med J 2013, 6(5):272-279.
-
(2013)
Austr Med J
, vol.6
, Issue.5
, pp. 272-279
-
-
Abedini, M.1
Kirley, M.2
Chiong, R.3
-
22
-
-
36049043552
-
Mining pathway signatures from microarray data and relevant biological knowledge
-
Panteris E., Swift S., Payne A., Liu X. Mining pathway signatures from microarray data and relevant biological knowledge. J Biomed Inform 2007, 40(6):698-706.
-
(2007)
J Biomed Inform
, vol.40
, Issue.6
, pp. 698-706
-
-
Panteris, E.1
Swift, S.2
Payne, A.3
Liu, X.4
-
23
-
-
18744413287
-
Estimating misclassification error with small samples via bootstrap cross-validation
-
Fu W.J., Carroll R.J., Wang S. Estimating misclassification error with small samples via bootstrap cross-validation. Bioinformatics 2005, 21(9):1979-1986.
-
(2005)
Bioinformatics
, vol.21
, Issue.9
, pp. 1979-1986
-
-
Fu, W.J.1
Carroll, R.J.2
Wang, S.3
-
24
-
-
84902542239
-
Bootstrapping likelihood for model selection with small samples
-
Pan W. Bootstrapping likelihood for model selection with small samples; 1998.
-
(1998)
-
-
Pan, W.1
-
25
-
-
0034069495
-
Gene ontology: tool for the unification of biology
-
Ashburner M., Ball C., Blake J., Botstein D., Butler H., Cherry J., et al. Gene ontology: tool for the unification of biology. Nat Genet 2000, 25(1):25-29.
-
(2000)
Nat Genet
, vol.25
, Issue.1
, pp. 25-29
-
-
Ashburner, M.1
Ball, C.2
Blake, J.3
Botstein, D.4
Butler, H.5
Cherry, J.6
-
27
-
-
84858983547
-
KEGG for integration and interpretation of large-scale molecular data sets
-
Database-Issue
-
Kanehisa M., Goto S., Sato Y., Furumichi M., Tanabe M. KEGG for integration and interpretation of large-scale molecular data sets. Nucl Acids Res 2012, 40(Database-Issue):109-114.
-
(2012)
Nucl Acids Res
, vol.40
, pp. 109-114
-
-
Kanehisa, M.1
Goto, S.2
Sato, Y.3
Furumichi, M.4
Tanabe, M.5
-
28
-
-
84874016103
-
Precise generation of systems biology models from KEGG pathways
-
Wrzodek C., Büchel F., Ruff M., Dräger A., Zell A. Precise generation of systems biology models from KEGG pathways. BMC Syst Biol 2013, 7(1):1-12.
-
(2013)
BMC Syst Biol
, vol.7
, Issue.1
, pp. 1-12
-
-
Wrzodek, C.1
Büchel, F.2
Ruff, M.3
Dräger, A.4
Zell, A.5
-
29
-
-
84877731788
-
Computationally identifying virulence factors based on KEGG pathways
-
Cui W., Chen L., Huang T., Gao Q., Jiang M., Zhang N., et al. Computationally identifying virulence factors based on KEGG pathways. Mol Biosyst 2013, 9:1447-1452.
-
(2013)
Mol Biosyst
, vol.9
, pp. 1447-1452
-
-
Cui, W.1
Chen, L.2
Huang, T.3
Gao, Q.4
Jiang, M.5
Zhang, N.6
-
30
-
-
80054862015
-
Microarray analysis of peripheral blood lymphocytes from ALS patients and the SAFE detection of the KEGG ALS pathway
-
Mougeot J.-L., Li Z., Price A., Wright F., Brooks B. Microarray analysis of peripheral blood lymphocytes from ALS patients and the SAFE detection of the KEGG ALS pathway. BMC Med Genom 2011, 4(1):74.
-
(2011)
BMC Med Genom
, vol.4
, Issue.1
, pp. 74
-
-
Mougeot, J.-L.1
Li, Z.2
Price, A.3
Wright, F.4
Brooks, B.5
-
31
-
-
84886034655
-
A combined omics study on activated macrophages - enhanced role of stats in apoptosis, immunity and lipid metabolism
-
Dinasarapu A.R., Gupta S., Maurya M.R., Fahy E., Min J., Sud M., et al. A combined omics study on activated macrophages - enhanced role of stats in apoptosis, immunity and lipid metabolism. Bioinformatics 2013, 29(21):2735-2743.
-
(2013)
Bioinformatics
, vol.29
, Issue.21
, pp. 2735-2743
-
-
Dinasarapu, A.R.1
Gupta, S.2
Maurya, M.R.3
Fahy, E.4
Min, J.5
Sud, M.6
-
32
-
-
0033569406
-
Molecular classification of cancer: class discovery and class prediction by gene expression monitoring
-
Golub T., Slonim D., Tamayo P., Huard C., Gaasenbeek M., Mesirov J., et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science 1999, 286(5439):531-537.
-
(1999)
Science
, vol.286
, Issue.5439
, pp. 531-537
-
-
Golub, T.1
Slonim, D.2
Tamayo, P.3
Huard, C.4
Gaasenbeek, M.5
Mesirov, J.6
-
33
-
-
84902542229
-
hu6800.db: Affymetrix HuGeneFL Genome Array annotation data (chip hu6800)
-
R package version 2.6.3.
-
Carlson M, Falcon S, Pages H, Li N. hu6800.db: Affymetrix HuGeneFL Genome Array annotation data (chip hu6800), R package version 2.6.3.
-
-
-
Carlson, M.1
Falcon, S.2
Pages, H.3
Li, N.4
-
34
-
-
19044391072
-
Gene expression correlates of clinical prostate cancer behavior
-
Singh D., Febbo P.G., Ross K., Jackson D.G., Manola J., Ladd C., et al. Gene expression correlates of clinical prostate cancer behavior. Cancer Cell 2002, 1(2):203-209.
-
(2002)
Cancer Cell
, vol.1
, Issue.2
, pp. 203-209
-
-
Singh, D.1
Febbo, P.G.2
Ross, K.3
Jackson, D.G.4
Manola, J.5
Ladd, C.6
-
35
-
-
84902542230
-
hgu95av2.db: Affymetrix Human Genome U95 Set annotation data (chip hgu95av2)
-
R package version 2.8.0.
-
Carlson M. hgu95av2.db: Affymetrix Human Genome U95 Set annotation data (chip hgu95av2), R package version 2.8.0.
-
-
-
Carlson, M.1
-
36
-
-
0036735386
-
Translation of microarray data into clinically relevant cancer diagnostic tests using gene expression ratios in lung cancer and mesothelioma
-
Gordon G.J., Jensen R.V., li Hsiao L., Gullans S.R., Blumenstock J.E., Ramaswamy S., et al. Translation of microarray data into clinically relevant cancer diagnostic tests using gene expression ratios in lung cancer and mesothelioma. Cancer Res 2002, 62:4963-4967.
-
(2002)
Cancer Res
, vol.62
, pp. 4963-4967
-
-
Gordon, G.J.1
Jensen, R.V.2
li Hsiao, L.3
Gullans, S.R.4
Blumenstock, J.E.5
Ramaswamy, S.6
-
37
-
-
84902542230
-
hgu95a.db: Affymetrix Human Genome U95 Set annotation data (chip hgu95a)
-
R package version 2.8.0.
-
Carlson M. hgu95a.db: Affymetrix Human Genome U95 Set annotation data (chip hgu95a), R package version 2.8.0.
-
-
-
Carlson, M.1
-
38
-
-
70249100266
-
HOXA9 modulates its oncogenic partner Meis1 to influence normal hematopoiesis
-
Hu Y.-L., Fong S., Ferrell C., Largman C., Shen W.-F. HOXA9 modulates its oncogenic partner Meis1 to influence normal hematopoiesis. Mol Cell Biol 2009, 29(18):5181-5192.
-
(2009)
Mol Cell Biol
, vol.29
, Issue.18
, pp. 5181-5192
-
-
Hu, Y.-L.1
Fong, S.2
Ferrell, C.3
Largman, C.4
Shen, W.-F.5
-
39
-
-
0003269032
-
Genetic algorithms in search
-
Addison-Wesley Longman Publishing Co., Inc.
-
Goldberg D.E. Genetic algorithms in search. Optimization and machine learning 1989, Addison-Wesley Longman Publishing Co., Inc.
-
(1989)
Optimization and machine learning
-
-
Goldberg, D.E.1
-
41
-
-
0036161259
-
Gene selection for cancer classification using support vector machines
-
Guyon I., Weston J., Barnhill S., Vapnik V. Gene selection for cancer classification using support vector machines. Mach Learn 2002, 46(1-3):389-422.
-
(2002)
Mach Learn
, vol.46
, Issue.1-3
, pp. 389-422
-
-
Guyon, I.1
Weston, J.2
Barnhill, S.3
Vapnik, V.4
-
42
-
-
0034602774
-
Knowledge-based analysis of microarray gene expression data by using support vector machines
-
Brown M., Grundy W., Lin D., Cristianini N., Sugnet C., Furey T., et al. Knowledge-based analysis of microarray gene expression data by using support vector machines. Proc Nat Acad Sci USA 2000, 97(1):262-267.
-
(2000)
Proc Nat Acad Sci USA
, vol.97
, Issue.1
, pp. 262-267
-
-
Brown, M.1
Grundy, W.2
Lin, D.3
Cristianini, N.4
Sugnet, C.5
Furey, T.6
-
45
-
-
0242302657
-
Consistency-based search in feature selection
-
Dash M., Liu H. Consistency-based search in feature selection. Artif Intell 2003, 151(1-2):155-176.
-
(2003)
Artif Intell
, vol.151
, Issue.1-2
, pp. 155-176
-
-
Dash, M.1
Liu, H.2
-
46
-
-
0000916783
-
Practical feature subset selection for machine learning
-
Hall M., Smith L. Practical feature subset selection for machine learning. J Comput Sci 1998, 98:4-6.
-
(1998)
J Comput Sci
, vol.98
, pp. 4-6
-
-
Hall, M.1
Smith, L.2
-
47
-
-
0004060921
-
Correlation-based feature selection for machine learning
-
Ph.D. thesis, University of Waikato
-
Hall M. Correlation-based feature selection for machine learning. Ph.D. thesis, University of Waikato; 1999.
-
(1999)
-
-
Hall, M.1
-
48
-
-
24344458137
-
Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
-
Peng H., Long F., Ding C. Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans Pattern Anal Mach Intell 2005, 27(8):1226-1238.
-
(2005)
IEEE Trans Pattern Anal Mach Intell
, vol.27
, Issue.8
, pp. 1226-1238
-
-
Peng, H.1
Long, F.2
Ding, C.3
-
49
-
-
79955702502
-
LIBSVM: a library for support vector machines
-
[Software available at
-
Chang C.-C., Lin C.-J. LIBSVM: a library for support vector machines. ACM Trans Intell Syst Technol 2011, 2:1-27. [Software available at http://www.csie.ntu.edu.tw/cjlin/libsvm].
-
(2011)
ACM Trans Intell Syst Technol
, vol.2
, pp. 1-27
-
-
Chang, C.-C.1
Lin, C.-J.2
-
50
-
-
84874645517
-
Assessment of geometric features for individual identification and verification in biometric hand systems
-
Luque-Baena R.M., Elizondo D., López-Rubio E., Palomo E.J., Watson T. Assessment of geometric features for individual identification and verification in biometric hand systems. Expert Syst Appl 2013, 40(9):3580-3594.
-
(2013)
Expert Syst Appl
, vol.40
, Issue.9
, pp. 3580-3594
-
-
Luque-Baena, R.M.1
Elizondo, D.2
López-Rubio, E.3
Palomo, E.J.4
Watson, T.5
|