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...

Cijeli opis

Spremljeno u:
Bibliografski detalji
Izdano u:Front Plant Sci
Glavni autori: Ni, Ying, Aghamirzaie, Delasa, Elmarakeby, Haitham, Collakova, Eva, Li, Song, Grene, Ruth, Heath, Lenwood S.
Format: Artigo
Jezik:Inglês
Izdano: Frontiers Media S.A. 2016
Teme:
Plant Science
Online pristup: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
Oznake: Dodaj oznaku
Bez oznaka, Budi prvi tko označuje ovaj zapis!

Similar Items