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Gene regulatory network inference from sparsely sampled noisy data

Authors :
Atte Aalto
Lauri Viitasaari
Pauliina Ilmonen
Laurent Mombaerts
Jorge Gonçalves
Source :
Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
Publication Year :
2020
Publisher :
Nature Portfolio, 2020.

Abstract

Gene regulatory network inference is a topical problem in systems biology. Here, the authors presents BINGO, a powerful method for network inference from time series data.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.b5b9696e0eb4f948944482518584fb9
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-020-17217-1