A Machine Learning Approach to Predict Gene Regulatory Networks in Seed Development in Arabidopsis

Gene regulatory networks (GRNs) provide a representation of relationships between regulators and their target genes. Several methods for GRN inference, both unsupervised and supervised, have been developed to date. Because regulatory relationships consistently reprogram in diverse tissues or under d...

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Detalhes bibliográficos
Publicado no:Front Plant Sci
Main Authors: Ni, Ying, Aghamirzaie, Delasa, Elmarakeby, Haitham, Collakova, Eva, Li, Song, Grene, Ruth, Heath, Lenwood S.
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2016
Assuntos:
Plant Science
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5179539/
https://ncbi.nlm.nih.gov/pubmed/28066488
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fpls.2016.01936
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