Literature DB >> 17720704

A review of feature selection techniques in bioinformatics.

Yvan Saeys1, Iñaki Inza, Pedro Larrañaga.   

Abstract

Feature selection techniques have become an apparent need in many bioinformatics applications. In addition to the large pool of techniques that have already been developed in the machine learning and data mining fields, specific applications in bioinformatics have led to a wealth of newly proposed techniques. In this article, we make the interested reader aware of the possibilities of feature selection, providing a basic taxonomy of feature selection techniques, and discussing their use, variety and potential in a number of both common as well as upcoming bioinformatics applications.

Mesh:

Year:  2007        PMID: 17720704     DOI: 10.1093/bioinformatics/btm344

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  754 in total

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Journal:  J Biomed Inform       Date:  2018-07-17       Impact factor: 6.317

Review 6.  Relief-based feature selection: Introduction and review.

Authors:  Ryan J Urbanowicz; Melissa Meeker; William La Cava; Randal S Olson; Jason H Moore
Journal:  J Biomed Inform       Date:  2018-07-18       Impact factor: 6.317

7.  Robust clinical marker identification for diabetic kidney disease with ensemble feature selection.

Authors:  Xing Song; Lemuel R Waitman; Yong Hu; Alan S L Yu; David C Robbins; Mei Liu
Journal:  J Am Med Inform Assoc       Date:  2019-03-01       Impact factor: 4.497

8.  Integrative analysis of many RNA-seq datasets to study alternative splicing.

Authors:  Wenyuan Li; Chao Dai; Shuli Kang; Xianghong Jasmine Zhou
Journal:  Methods       Date:  2014-02-28       Impact factor: 3.608

9.  A clinical risk stratification tool for predicting treatment resistance in major depressive disorder.

Authors:  Roy H Perlis
Journal:  Biol Psychiatry       Date:  2013-02-04       Impact factor: 13.382

10.  Reproducibility and Prognosis of Quantitative Features Extracted from CT Images.

Authors:  Yoganand Balagurunathan; Yuhua Gu; Hua Wang; Virendra Kumar; Olya Grove; Sam Hawkins; Jongphil Kim; Dmitry B Goldgof; Lawrence O Hall; Robert A Gatenby; Robert J Gillies
Journal:  Transl Oncol       Date:  2014-02-01       Impact factor: 4.243

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