MICA: a multi-omics method to predict gene regulatory networks in early human embryos

Recent advances in single-cell omics have transformed characterisation of cell types in challenging-to-study biological contexts. In contexts with limited single-cell samples, such as the early human embryo inference of transcription factor-gene regulatory network (GRN) interactions is especially di...

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Detalles Bibliográficos
Autores principales: Alanis-Lobato, Gregorio, Bartlett, Thomas E, Huang, Qiulin, Simon, Claire S, McCarthy, Afshan, Elder, Kay, Snell, Phil, Christie, Leila, Niakan, Kathy K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Life Science Alliance LLC 2023
Materias:
Resources
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10599980/
https://www.ncbi.nlm.nih.gov/pubmed/37879938
http://dx.doi.org/10.26508/lsa.202302415

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10599980/
https://www.ncbi.nlm.nih.gov/pubmed/37879938
http://dx.doi.org/10.26508/lsa.202302415

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