Variant to function mapping at single-cell resolution through network propagation

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With burgeoning human disease genetic associations and single-cell genomic atlases covering a range of tissues, there are unprecedented opportunities to systematically gain insights into the mechanisms of disease-causal variation. However, sparsity and noise, particularly in the context of single-ce...

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Detalles Bibliográficos
Autores principales: Yu, Fulong, Cato, Liam D., Weng, Chen, Liggett, L. Alexander, Jeon, Soyoung, Xu, Keren, Chiang, Charleston W.K., Wiemels, Joseph L., Weissman, Jonathan S., de Smith, Adam J., Sankaran, Vijay G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8811900/
https://www.ncbi.nlm.nih.gov/pubmed/35118467
http://dx.doi.org/10.1101/2022.01.23.477426

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8811900/
https://www.ncbi.nlm.nih.gov/pubmed/35118467
http://dx.doi.org/10.1101/2022.01.23.477426

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