Open AccessNetwork-based analysis of omics data: the LEAN method
Author(s) -
Frederik Gwinner,
Gwénola Boulday,
Claire Vandiedonck,
Minh Arnould,
Cécile Cardoso,
Iryikolayeva,
Oriol Guitart-Pla,
Cécile V. Denis,
Olivier D. Christophe,
Johann Beghain,
Elisabeth TournierLasserve,
Benno Schwikowski
Publication year - 2016
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/btw676
Subject(s) - computer science , software , data mining , computational biology , biology , programming language
Most computational approaches for the analysis of omics data in the context of interaction networks have very long running times, provide single or partial, often heuristic, solutions and/or contain user-tuneable parameters.
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