Evaluating methods of inferring gene regulatory networks highlights their lack of performance for single cell gene expression data

BACKGROUND: A fundamental fact in biology states that genes do not operate in isolation, and yet, methods that infer regulatory networks for single cell gene expression data have been slow to emerge. With single cell sequencing methods now becoming accessible, general network inference algorithms th...

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Detalles Bibliográficos
Autores principales: Chen, Shuonan, Mar, Jessica C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6006753/
https://www.ncbi.nlm.nih.gov/pubmed/29914350
http://dx.doi.org/10.1186/s12859-018-2217-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6006753/
https://www.ncbi.nlm.nih.gov/pubmed/29914350
http://dx.doi.org/10.1186/s12859-018-2217-z

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