Literature DB >> 12912841

RankGene: identification of diagnostic genes based on expression data.

Yang Su1, T M Murali, Vladimir Pavlovic, Michael Schaffer, Simon Kasif.   

Abstract

RankGene is a program for analyzing gene expression data and computing diagnostic genes based on their predictive power in distinguishing between different types of samples. The program integrates into one system a variety of popular ranking criteria, ranging from the traditional t-statistic to one-dimensional support vector machines. This flexibility makes RankGene a useful tool in gene expression analysis and feature selection.

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Year:  2003        PMID： 12912841     DOI： 10.1093/bioinformatics/btg179

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


  30 in total

1.  Feature Import Vector Machine: A General Classifier with Flexible Feature Selection.

Authors:  Samiran Ghosh; Yazhen Wang
Journal:  Stat Anal Data Min       Date:  2015-01-26       Impact factor: 1.051

Review 2.  Differential network analysis in human cancer research.

Authors:  Ryan Gill; Somnath Datta; Susmita Datta
Journal:  Curr Pharm Des       Date:  2014       Impact factor: 3.116

3.  Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data.

Authors:  Christoph Bartenhagen; Hans-Ulrich Klein; Christian Ruckert; Xiaoyi Jiang; Martin Dugas
Journal:  BMC Bioinformatics       Date:  2010-11-18       Impact factor: 3.169

4.  Combining Shapley value and statistics to the analysis of gene expression data in children exposed to air pollution.

Authors:  Stefano Moretti; Danitsja van Leeuwen; Hans Gmuender; Stefano Bonassi; Joost van Delft; Jos Kleinjans; Fioravante Patrone; Domenico Franco Merlo
Journal:  BMC Bioinformatics       Date:  2008-09-02       Impact factor: 3.169

5.  Gene mining: a novel and powerful ensemble decision approach to hunting for disease genes using microarray expression profiling.

Authors:  Xia Li; Shaoqi Rao; Yadong Wang; Binsheng Gong
Journal:  Nucleic Acids Res       Date:  2004-05-17       Impact factor: 16.971

6.  A Java-based tool for the design of classification microarrays.

Authors:  Da Meng; Shira L Broschat; Douglas R Call
Journal:  BMC Bioinformatics       Date:  2008-08-04       Impact factor: 3.169

7.  Data perturbation independent diagnosis and validation of breast cancer subtypes using clustering and patterns.

Authors:  G Alexe; G S Dalgin; R Ramaswamy; C Delisi; G Bhanot
Journal:  Cancer Inform       Date:  2007-02-19

8.  Automated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer's disease.

Authors:  Claudia Plant; Stefan J Teipel; Annahita Oswald; Christian Böhm; Thomas Meindl; Janaina Mourao-Miranda; Arun W Bokde; Harald Hampel; Michael Ewers
Journal:  Neuroimage       Date:  2009-12-02       Impact factor: 6.556

9.  Robust proportional overlapping analysis for feature selection in binary classification within functional genomic experiments.

Authors:  Muhammad Hamraz; Naz Gul; Mushtaq Raza; Dost Muhammad Khan; Umair Khalil; Seema Zubair; Zardad Khan
Journal:  PeerJ Comput Sci       Date:  2021-06-01

10.  A robust hybrid approach based on estimation of distribution algorithm and support vector machine for hunting candidate disease genes.

Authors:  Li Li; Hongmei Chen; Chang Liu; Fang Wang; Fangfang Zhang; Lihua Bai; Yihan Chen; Luying Peng
Journal:  ScientificWorldJournal       Date:  2013-02-07
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