Time-Varying Gene Expression Network Analysis Reveals Conserved Transition States in Hematopoietic Differentiation between Human and Mouse

(1) Background: analyses of gene networks can elucidate hematopoietic differentiation from single-cell gene expression data, but most algorithms generate only a single, static network. Because gene interactions change over time, it is biologically meaningful to examine time-varying structures and to...

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Detalles Bibliográficos
Autores principales: Gao, Shouguo, Chen, Ye, Wu, Zhijie, Kajigaya, Sachiko, Wang, Xujing, Young, Neal S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601530/
https://www.ncbi.nlm.nih.gov/pubmed/36292775
http://dx.doi.org/10.3390/genes13101890

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601530/
https://www.ncbi.nlm.nih.gov/pubmed/36292775
http://dx.doi.org/10.3390/genes13101890

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