A Bayesian data fusion based approach for learning genome-wide transcriptional regulatory networks

Elisabetta Sauta, Andrea Demartini, Francesca Vitali, Alberto Riva, Riccardo Bellazzi

Neurology

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

2 results
- Title
- Start date(ascending)

A Bayesian data fusion based approach for learning genome-wide transcriptional regulatory networks
Sauta, E. (Creator), Demartini, A. (Creator), Vitali, F. (Creator), Riva, A. (Creator), Bellazzi, R. (Creator), Bellazzi, R. (Creator) & Bellazzi, R. (Creator), figshare, 2020
DOI: 10.6084/m9.figshare.c.5000147, https://springernature.figshare.com/collections/A_Bayesian_data_fusion_based_approach_for_learning_genome-wide_transcriptional_regulatory_networks/5000147
Dataset
A Bayesian data fusion based approach for learning genome-wide transcriptional regulatory networks
Sauta, E. (Creator), Demartini, A. (Creator), Vitali, F. (Creator), Riva, A. (Creator), Bellazzi, R. (Creator) & Bellazzi, R. (Creator), figshare, 2020
DOI: 10.6084/m9.figshare.c.5000147.v1, https://springernature.figshare.com/collections/A_Bayesian_data_fusion_based_approach_for_learning_genome-wide_transcriptional_regulatory_networks/5000147/1
Dataset