Network embedding-based representation learning for single cell RNA-seq data

Single cell RNA-seq (scRNA-seq) techniques can reveal valuable insights of cell-to-cell heterogeneities. Projection of high-dimensional data into a low-dimensional subspace is a powerful strategy in general for mining such big data. However, scRNA-seq suffers from higher noise and lower coverage tha...

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Bibliografiske detaljer
Udgivet i:Nucleic Acids Res
Main Authors: Li, Xiangyu, Chen, Weizheng, Chen, Yang, Zhang, Xuegong, Gu, Jin, Zhang, Michael Q.
Format: Artigo
Sprog:Inglês
Udgivet: Oxford University Press 2017
Fag:
Methods Online
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5737094/
https://ncbi.nlm.nih.gov/pubmed/28977434
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/nar/gkx750
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