Open AccessInferring transcriptional logic from multiple dynamic experiments
Author(s) -
Giorgos Minas,
Dafyd J. Jenkins,
D.A.J. Rand,
Bärbel Finkenstädt
Publication year - 2017
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/btx407
Subject(s) - computer science , markov chain monte carlo , toolbox , rank (graph theory) , data mining , computational biology , software , set (abstract data type) , biology , bayesian probability , artificial intelligence , mathematics , programming language , combinatorics
The availability of more data of dynamic gene expression under multiple experimental conditions provides new information that makes the key goal of identifying not only the transcriptional regulators of a gene but also the underlying logical structure attainable.
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