Interpretable, Scalable, and Transferrable Functional Projection of Large-Scale Transcriptome Data Using Constrained Matrix Decomposition

Large-scale transcriptome data, such as single-cell RNA-sequencing data, have provided unprecedented resources for studying biological processes at the systems level. Numerous dimensionality reduction methods have been developed to visualize and analyze these transcriptome data. In addition, several...

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Detalles Bibliográficos
Autores principales: Panchy, Nicholas, Watanabe, Kazuhide, Hong, Tian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8417714/
https://www.ncbi.nlm.nih.gov/pubmed/34490045
http://dx.doi.org/10.3389/fgene.2021.719099

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8417714/
https://www.ncbi.nlm.nih.gov/pubmed/34490045
http://dx.doi.org/10.3389/fgene.2021.719099

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