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Keyword

gene selection

Description: Gene selection is the process of identifying genes most relevant to a classification or prediction task, especially in bioinformatics and genomic data analysis.
OpenAlex ID: keywords/gene-selection
Gene Selection for Cancer Classification using Support Vector Machines
2002 · Isabelle Guyon, Jason Weston, et al. · Machine Learning · 9,927
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Diagnosis of multiple cancer types by shrunken centroids of gene expression
2002 · Robert Tibshirani, Trevor Hastie, et al. · Proceedings of the National Academy of Sciences · 2,932
Gene selection and classification of microarray data using random forest
2006 · Ramón Díaz-Uriarte, Sara Alvarez de Andrés · BMC Bioinformatics · 2,930
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Minimum Redundancy Feature Selection From Microarray Gene Expression Data
2005 · CHRIS DING, HANCHUAN PENG · Journal of Bioinformatics and Computational Biology · 2,752
Microarray data normalization and transformation
2002 · John Quackenbush · Nature Genetics · 1,973
Empirical Bayes Analysis of a Microarray Experiment
2001 · Bradley Efron, Robert Tibshirani, et al. · Journal of the American Statistical Association · 1,734
Selection bias in gene extraction on the basis of microarray gene-expression data
2002 · Christophe Ambroise, Geoffrey J. McLachlan · Proceedings of the National Academy of Sciences · 1,484
Evolution and the Levels of Selection
2006 · Samir Okasha · Oxford University Press eBooks · 1,483
Predicting the clinical status of human breast cancer by using gene expression profiles
2001 · Mike West, Carrie Blanchette, et al. · Proceedings of the National Academy of Sciences · 1,319
Man-made cell-like compartments for molecular evolution
1998 · Dan S. Tawfik, Andrew D. Griffiths · Nature Biotechnology · 957
A Review of Feature Selection and Feature Extraction Methods Applied on Microarray Data
2015 · Zena M. Hira, Duncan F. Gillies · Advances in Bioinformatics · 938
A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis
2004 · Alexander Statnikov, Constantin F. Aliferis, et al. · Bioinformatics · 840
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Regularized gene selection in cancer microarray meta-analysis
2009 · Shuangge Ma, Jian Huang · BMC Bioinformatics · 831
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STrengthening the REporting of Genetic Association Studies (STREGA)— An Extension of the STROBE Statement
2009 · Julian Little, Julian P.T Higgins, et al. · PLoS Medicine · 804
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Partial least squares: a versatile tool for the analysis of high-dimensional genomic data
2006 · A.-L. Boulesteix, K. Strimmer · Briefings in Bioinformatics · 804
Outcome signature genes in breast cancer: is there a unique set?
2004 · Liat Ein-Dor, Itai Kela, et al. · Bioinformatics · 802
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Tissue Classification with Gene Expression Profiles
2000 · Amir Ben-Dor, Laurakay Bruhn, et al. · Journal of Computational Biology · 742
A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification
2008 · Alexander Statnikov, Lily Wang, et al. · BMC Bioinformatics · 687
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A comparative study of feature selection and multiclass classification methods for tissue classification based on gene expression
2004 · Tao Li, Chengliang Zhang, et al. · Bioinformatics · 648
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Supervised, Unsupervised, and Semi-Supervised Feature Selection: A Review on Gene Selection
2015 · Jun Chin Ang, Andri Mirzal, et al. · IEEE Transactions on Computational Biology and Bioinformatics · 641
Gene selection for sample classification based on gene expression data: study of sensitivity to choice of parameters of the GA/KNN method
2001 · Leping Li, Clarice R. Weinberg, et al. · Bioinformatics · 638
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Regularized linear discriminant analysis and its application in microarrays
2006 · Y. Guo, T. Hastie, et al. · Biostatistics · 597
Robust biomarker identification for cancer diagnosis with ensemble feature selection methods
2009 · Thomas Abeel, Thibault Helleputte, et al. · Bioinformatics · 574
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A mixture model-based approach to the clustering of microarray expression data
2002 · G. J. McLachlan, R. W. Bean, et al. · Bioinformatics · 559
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Penalized Cox regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data
2005 · J. Gui, H. Li · Computer applications in the biosciences · 551
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Works count: 6,255
Citation count: 128,300
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