Identification of critical genes in microarray experiments by a neuro-fuzzy approach

DOI10.1016/J.COMPBIOLCHEM.2006.08.004zbMath1119.92025OpenAlexW2010324389WikidataQ38517689 ScholiaQ38517689MaRDI QIDQ883828

Jack Szeto, Chin-Fu Chen, Xin Feng

Publication date: 12 June 2007

Published in: Computational Biology and Chemistry (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.compbiolchem.2006.08.004

zbMATH Keywords

Fuzzy logicGene expressionMicroarrayArtificial networksGene ontology

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Learning and adaptive systems in artificial intelligence (68T05) Biochemistry, molecular biology (92C40) Genetics and epigenetics (92D10)

Related Items (1)

Detecting Gene Regulatory Networks from Microarray Data Using Fuzzy Logic

Uses Software

• ElemStatLearn
• GenMAPP
• FatiGO
• MAPPFinder

Cites Work

• The elements of statistical learning. Data mining, inference, and prediction
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