Low-Rank Regularization for Learning Gene Expression Programs

Learning gene expression programs directly from a set of observations is challenging due to the complexity of gene regulation, high noise of experimental measurements, and insufficient number of experimental measurements. Imposing additional constraints with strong and biologically motivated regular...

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Detalles Bibliográficos
Autores principales: Ye, Guibo, Tang, Mengfan, Cai, Jian-Feng, Nie, Qing, Xie, Xiaohui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3866120/
https://www.ncbi.nlm.nih.gov/pubmed/24358148
http://dx.doi.org/10.1371/journal.pone.0082146

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3866120/
https://www.ncbi.nlm.nih.gov/pubmed/24358148
http://dx.doi.org/10.1371/journal.pone.0082146

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