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A Bayesian data fusion based approach for learning genome-wide transcriptional regulatory networks
Elisabetta Sauta
(Creator)
A. Demartini
(Creator)
Francesca Vitali
(Creator)
Alberto Riva
(Creator)
Riccardo Bellazzi
(Creator)
Neurology
Dataset
Overview
Scholarly Works
(1)
Research output
Scholarly Works per year
2020
2020
2020
1
Article
Scholarly Works per year
Scholarly Works per year
1 results
Publication Year, Title
(descending)
Publication Year, Title
(ascending)
Title
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2020
A Bayesian data fusion based approach for learning genome-wide transcriptional regulatory networks
Sauta, E.
,
Demartini, A.
,
Vitali, F.
,
Riva, A.
&
Bellazzi, R.
,
May 29 2020
,
In:
BMC bioinformatics.
21
,
1
, 0203510.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
Data Fusion
100%
Regulatory Networks
96%
Transcription factors
92%
Transcription Factor
76%
Genomics
75%
2
Scopus citations