Papers: 10.1186/s12859-020-3510-1
https://doi.org/10.1186/s12859-020-3510-1
A Bayesian data fusion based approach for learning genome-wide transcriptional regulatory networks
Cited by: 3
Author(s): Elisabetta Sauta, Andrea Demartini, Francesca Vitali, Alberto Riva, Riccardo Bellazzi
Published: about 5 years ago
Software Mentions 3
cran: bnlearn
Bayesian Network Structure Learning, Parameter Learning and InferencePapers that mentioned: 113
Very Likely Science (85)
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)
Very Likely Science (100)