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Visualization, benchmarking and characterization of nested single-cell heterogeneity as dynamic forest mixtures.
Anchang, Benedict; Mendez-Giraldez, Raul; Xu, Xiaojiang; Archer, Trevor K; Chen, Qing; Hu, Guang; Plevritis, Sylvia K; Motsinger-Reif, Alison Anne; Li, Jian-Liang.
Affiliation
  • Anchang B; Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Stanford, California, USA.
  • Mendez-Giraldez R; Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Stanford, California, USA.
  • Xu X; Integrative Bioinformatics Support Group, National Institute of Environmental Health Sciences, Stanford, California, USA.
  • Archer TK; Epigenetics & Stem Cell Biology Laboratory/Chromatin & Gene Expression Group, National Institute of Environmental Health Sciences, Stanford, California, USA.
  • Chen Q; Epigenetics & Stem Cell Biology Laboratory/Chromatin & Gene Expression Group, National Institute of Environmental Health Sciences, Stanford, California, USA.
  • Hu G; Epigenetics & Stem Cell Biology Laboratory/Chromatin & Gene Expression Group, National Institute of Environmental Health Sciences, Stanford, California, USA.
  • Plevritis SK; Department of Biomedical Data Science, Center for Cancer Systems Biology, Stanford University, Stanford, California, USA.
  • Motsinger-Reif AA; Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Stanford, California, USA.
  • Li JL; Integrative Bioinformatics Support Group, National Institute of Environmental Health Sciences, Stanford, California, USA.
Brief Bioinform ; 23(2)2022 03 10.
Article in En | MEDLINE | ID: mdl-35192692
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Benchmarking / Single-Cell Analysis / Models, Theoretical Type of study: Prognostic_studies Limits: Animals / Humans Language: En Journal: Brief Bioinform Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2022 Type: Article Affiliation country: United States
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Benchmarking / Single-Cell Analysis / Models, Theoretical Type of study: Prognostic_studies Limits: Animals / Humans Language: En Journal: Brief Bioinform Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2022 Type: Article Affiliation country: United States