10.26508/lsa.201900443 | Papers | Ecosyste.ms: Papers

Papers: 10.26508/lsa.201900443

De novo prediction of cell-type complexity in single-cell RNA-seq and tumor microenvironments

Cited by: 7
Author(s): Hyung Jun Woo, Boris Winterhoff, Timothy K. Starr, Constantin F. Aliferis, Jinhua Wang
Published: about 6 years ago

Single-cell Interpretation via Multi-kernel LeaRning (SIMLR)
Papers that mentioned: 40

Very Likely Science (65)

Identification of Cell Types, Inference of Lineage Trees, and Prediction of Noise Dynamics from Single-Cell RNA-Seq Data
Papers that mentioned: 25

Very Likely Science (75)

Tools for Single Cell Genomics
Papers that mentioned: 1,512

Very Likely Science (100)

Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning
Papers that mentioned: 40

Very Likely Science (75)