An adaptive feature selection method for microarray data analysis

Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2012

Volumn , Issue , 2012, Pages 294-299

  Cheng, Jie ^a   Greshock, Joel ^a   Shi, Leming ^b   Painter, Jeffery ^a   Lin, Xiwu ^a   Lee, Kwan ^a   Zheng, Shu ^c   Wooster, Richard ^a   Pusztai, Lajos ^d   Menius, Alan ^a  

^a GLAXOSMITHKLINE   (United States)

^b NATIONAL CENTER FOR TOXICOLOGICAL RESEARCH   (United States)

^c ZHEJIANG UNIVERSITY   (China)

^d UNIVERSITY OF TEXAS   (United States)

Author keywords

biomarker discovery; classifier learning; feature selection; gene expression; Microarray data analysis; predictive modeling

Indexed keywords

ADAPTIVE FEATURE SELECTION; BIO-MARKER DISCOVERY; CLASSIFICATION PERFORMANCE; CLASSIFIER LEARNING; CONTROL PHASE; CROSS VALIDATION; DATA SETS; FEATURE SELECTION METHODS; HIGH QUALITY; HIGH-DIMENSIONAL; MICROARRAY DATA ANALYSIS; PREDICTIVE MODELING; RESEARCH TOPICS;

DATA PROCESSING; FEATURE EXTRACTION; GENE EXPRESSION;

BIOINFORMATICS;

EID: 84872575393     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBM.2012.6392686     Document Type: Conference Paper

References (11)

1. Saeys Y, et al. (2007) A review of feature selection techniques in bioinformatics. Bioinformatics; 23:2507-2517.
2. Tomlins SA, et al. (2005) Recurrent fusion of TMPRSS2 and ETS transcription factor genes in prostate cancer. Science 310: 644-8.
3. Tibshirani,R. and Hastie,T. (2007) Outlier sums for differential gene expression analysis. Biostatistics, 8, 2-8.
4. Wu,B. (2007) Cancer outlier differential gene expression detection. Biostatistics, 8,566-575.
5. Tusher VG, Tibshirani R, Chu G: (2001) Significance analysis of microarrays applied to the ionizing radiation response. Proc Natl Acad Sci USA 98(9):5116-5121.
6. Efron, B., Tibshirani, R., Storey, J. D., and Tusher, V. (2001), "Empirical Bayes Analysis of a Microarray Experiment," Journal of the American Statistical Society, 96 (456), 1151-1160
7. Opgen-Rhein, Rainer and Strimmer, Korbinian (2007) "Accurate Ranking of Differentially Expressed Genes by a Distribution-Free Shrinkage Approach," Statistical Applications in Genetics and Molecular Biology: Vol. 6: Iss. 1, Article 9.
8. Dudoit R, Fridly J, Speed TP. (2002) Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data. JAMA Vol. 97 No.457, 77-87.
9. Golub, et al. (1999) Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring. Science Vol 286, Oct 1999.
10. Greshock, J. et al. (2008) Genome-wide DNA copy number predictors of lapatinib sensitivity in tumor-derived cell lines. Mol. Cancer Ther. 7, 935-943
11. MAQC consortium (2010), The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation. Nat Biotechnol 28, 827-838.