A rank-based statistical test for measuring synergistic effects between two gene sets | Zendy

Yuichi Shiraishi | Zendy; Mariko Okada | Zendy; Satoru Miyano | Zendy

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A rank-based statistical test for measuring synergistic effects between two gene sets

Author(s) -

Yuichi Shiraishi,

Mariko Okada,

Satoru Miyano

Publication year - 2011

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/btr382

Subject(s) - normalization (sociology) , computer science , data mining , software , statistical hypothesis testing , parametric statistics , computational biology , mathematics , biology , statistics , sociology , anthropology , programming language

Due to recent advances in high-throughput technologies, data on various types of genomic annotation have accumulated. These data will be crucially helpful for elucidating the combinatorial logic of transcription. Although several approaches have been proposed for inferring cooperativity among multiple factors, most approaches are haunted by the issues of normalization and threshold values.

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