Netmes: Assessing Gene Network Inference Algorithms by Network-Based Measures

Gene regulatory network inference (GRNI) algorithms are essential for efficiently utilizing large-scale microarray datasets to elucidate biochemical interactions among molecules in a cell. Recently, the combination of network-based error measures complemented with an ensemble approach became popular...

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Vydané v:	Evolutionary Bioinformatics Ročník 2014; číslo 2014; s. 1 - 9
Hlavní autori:	Altay, Gökmen, Kurt, Zeyneb, Dehmer, Matthias, Emmert-Streib, Frank
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London, England Libertas Academica 01.01.2014 SAGE Publishing SAGE Publications Sage Publications Ltd. (UK) Sage Publications Ltd
Predmet:	Algorithms Analysis Assessments Biochemistry Bioinformatics Genes Inference Networks Original Research Software packages metrics for assessing ensemble datasets R package for the network-based measures gene regulatory networks global network-based measures local network-based measures
ISSN:	1176-9343, 1176-9343
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