Probabilities of spurious connections in gene networks: application to expression time series | Zendy

David R. Bickel | Zendy

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Probabilities of spurious connections in gene networks: application to expression time series

Author(s) -

David R. Bickel

Publication year - 2004

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bti140

Subject(s) - spurious relationship , false discovery rate , computer science , estimator , randomness , conditional probability , data mining , algorithm , statistics , mathematics , gene , biology , genetics , machine learning

The reconstruction of gene networks from gene-expression microarrays is gaining popularity as methods improve and as more data become available. The reliability of such networks could be judged by the probability that a connection between genes is spurious, resulting from chance fluctuations rather than from a true biological relationship.

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