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ShinyButchR: Interactive NMF-based decomposition workflow of genome-scale datasets.
Quintero, Andres; Hübschmann, Daniel; Kurzawa, Nils; Steinhauser, Sebastian; Rentzsch, Philipp; Krämer, Stephen; Andresen, Carolin; Park, Jeongbin; Eils, Roland; Schlesner, Matthias; Herrmann, Carl.
Afiliação
  • Quintero A; Health Data Science Unit, Medical Faculty and BioQuant, University Heidelberg, Heidelberg, Germany.
  • Hübschmann D; Computational Oncology, Molecular Diagnostics Program, National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Kurzawa N; Genome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.
  • Steinhauser S; Bioinformatics and Computational Biology Group, The Francis Crick Institute, London, UK.
  • Rentzsch P; Computational Genome Biology, Berlin Institute of Health (BIH), Berlin, Germany.
  • Krämer S; Bioinformatics and Omics Data Analytics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Andresen C; Computational Oncology, Molecular Diagnostics Program, National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Park J; Center for Digital Health, Berlin Institute of Health (BIH) and Charité - Universitätsmedizin Berlin, Germany.
  • Eils R; Health Data Science Unit, Medical Faculty and BioQuant, University Heidelberg, Heidelberg, Germany.
  • Schlesner M; Bioinformatics and Omics Data Analytics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Herrmann C; Health Data Science Unit, Medical Faculty and BioQuant, University Heidelberg, Heidelberg, Germany.
Biol Methods Protoc ; 5(1): bpaa022, 2020.
Article em En | MEDLINE | ID: mdl-33376806
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article