SimiC enables the inference of complex gene regulatory dynamics across cell phenotypes

Single-cell RNA-Sequencing has the potential to provide deep biological insights by revealing complex regulatory interactions across diverse cell phenotypes at single-cell resolution. However, current single-cell gene regulatory network inference methods produce a single regulatory network per input...

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Detalles Bibliográficos
Autores principales: Peng, Jianhao, Serrano, Guillermo, Traniello, Ian M., Calleja-Cervantes, Maria E., Chembazhi, Ullas V., Bangru, Sushant, Ezponda, Teresa, Rodriguez-Madoz, Juan Roberto, Kalsotra, Auinash, Prosper, Felipe, Ochoa, Idoia, Hernaez, Mikel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005655/
https://www.ncbi.nlm.nih.gov/pubmed/35414121
http://dx.doi.org/10.1038/s42003-022-03319-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005655/
https://www.ncbi.nlm.nih.gov/pubmed/35414121
http://dx.doi.org/10.1038/s42003-022-03319-7

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