NonLoss: a novel analytical method for differential biological module identification from single-cell transcriptome

BACKGROUND: The identification of disease-related biological modules plays an important role in our understanding of the process of diseases. Although single-cell RNA sequencing (scRNA-seq) provides high-resolution transcriptome data that can potentially characterize subtle gene expression changes w...

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Detalles Bibliográficos
Autores principales: Zhao, Hui, Guo, Ying, Ma, Yanan, Chen, Yunping, Sun, Haiming, Sun, Donglin, Wu, Nan, Jin, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756206/
https://www.ncbi.nlm.nih.gov/pubmed/35071482
http://dx.doi.org/10.21037/atm-21-6401

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756206/
https://www.ncbi.nlm.nih.gov/pubmed/35071482
http://dx.doi.org/10.21037/atm-21-6401

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