Published in BMC Bioinformatics on March 14, 2017
Gene expression profiling predicts clinical outcome of breast cancer. Nature (2002) 71.36
Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. Proc Natl Acad Sci U S A (1999) 35.16
Gene expression profiling of gliomas strongly predicts survival. Cancer Res (2004) 7.79
Simple decision rules for classifying human cancers from gene expression profiles. Bioinformatics (2005) 3.24
Small-sample precision of ROC-related estimates. Bioinformatics (2010) 2.56
Regularized ROC method for disease classification and biomarker selection with microarray data. Bioinformatics (2005) 2.38
Selecting differentially expressed genes from microarray experiments. Biometrics (2003) 2.34
Molecular classification of multiple tumor types. Bioinformatics (2001) 2.02
A nonparametric scoring algorithm for identifying informative genes from microarray data. Pac Symp Biocomput (2001) 1.51
Local-learning-based feature selection for high-dimensional data analysis. IEEE Trans Pattern Anal Mach Intell (2010) 1.31
A top-r feature selection algorithm for microarray gene expression data. IEEE/ACM Trans Comput Biol Bioinform (2012) 1.25
An efficient statistical feature selection approach for classification of gene expression data. J Biomed Inform (2011) 1.00
Feature selection for gene expression using model-based entropy. IEEE/ACM Trans Comput Biol Bioinform (2010) 0.92
Fuzzy preference based feature selection and semisupervised SVM for cancer classification. IEEE Trans Nanobioscience (2014) 0.83