WASABI: a dynamic iterative framework for gene regulatory network inference

WASABI: a dynamic iterative framework for gene regulatory network inference

Abstract Background Inference of gene regulatory networks from gene expression data has been a long-standing and notoriously difficult task in systems biology. Recently, single-cell transcriptomic data have been massively used for gene regulatory network inference, with both successes and limitation...

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Bibliographic Details
Main Authors: Arnaud Bonnaffoux, Ulysse Herbach, Angélique Richard, Anissa Guillemin, Sandrine Gonin-Giraud, Pierre-Alexis Gros, Olivier Gandrillon
Format: Article
Language:English
Published: BMC 2019-05-01
Series:BMC Bioinformatics
Subjects:
Single-cell transcriptomics
Gene network inference
Multiscale modelling
Proteomic
High parallel computing
T2EC
Online Access:http://link.springer.com/article/10.1186/s12859-019-2798-1

Internet

http://link.springer.com/article/10.1186/s12859-019-2798-1

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