Comparison of co-expression measures: mutual information, correlation, and model based indices

Background Co-expression measures are often used to define networks among genes. Mutual information (MI) is often used as a generalized correlation measure. It is not clear how much MI adds beyond standard (robust) correlation measures or regression model based association measures. Further, it is i...

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Veröffentlicht in:	BMC bioinformatics Jg. 13; H. 1; S. 328
Hauptverfasser:	Song, Lin, Langfelder, Peter, Horvath, Steve
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 09.12.2012 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	Algorithms Associations Bioinformatics Biomedical and Life Sciences Comparative analysis Computational Biology/Bioinformatics Computer Appl. in Life Sciences Computer programs Correlation coefficient Data processing Gene expression Gene Expression Profiling - statistics & numerical data Gene Regulatory Networks Genes Humans Information theory Lattice theory Life Sciences Mean square errors Methods Microarrays Minimum inhibitory concentration Models, Genetic Multigene Family Networks analysis Programming languages Random variables Regression analysis Research Article Statistics as Topic Studies Transformation Iran Los Angeles California United States > US California Mutual Information Gene Pair Adjacency Matrix Gene Ontology Spline Regression
ISSN:	1471-2105, 1471-2105
Online-Zugang:	Volltext
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