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An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1371/journal.pone.0060045

https://doi.org/10.1371/journal.pone.0060045

The Structure of a Gene Co-Expression Network Reveals Biological Functions Underlying eQTLs

Cited by: 37
Author(s): Nathalie Villa-Vialaneix, Laurence Liaubet, Thibault Laurent, Pierre Chérel, Adrien Gamot, Magali SanCristobal
Published: over 12 years ago

Software Mentions 6

bioconductor: minet
Mutual Information NETworks
Papers that mentioned: 36
Very Likely Science (100)
cran: bnlearn
Bayesian Network Structure Learning, Parameter Learning and Inference
Papers that mentioned: 113
Very Likely Science (85)
cran: COSINE
COndition SpecIfic sub-NEtwork
Papers that mentioned: 15
Very Likely Science (85)
cran: GeneNet
Modeling and Inferring Gene Networks
Papers that mentioned: 87
Very Likely Science (90)
pypi: bnlearn
Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
Papers that mentioned: 113
Very Likely Science (90)
pypi: minet
A webmining CLI tool & library for python.
Papers that mentioned: 36
Very Likely Science (100)