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The shape of gene expression distributions matter: how incorporating distribution shape improves the interpretation of cancer transcriptomic data.
de Torrenté, Laurence; Zimmerman, Samuel; Suzuki, Masako; Christopeit, Maximilian; Greally, John M; Mar, Jessica C.
Affiliation
  • de Torrenté L; Department of Systems and Computational Biology, Albert Einstein College of Medicine, Bronx, NY, 10461, USA.
  • Zimmerman S; Department of Systems and Computational Biology, Albert Einstein College of Medicine, Bronx, NY, 10461, USA.
  • Suzuki M; Center for Epigenomics and Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, 10461, USA.
  • Christopeit M; Internal Medicine II, Hematology, Oncology, Clinical Immunology and Rheumatology, University Hospital Tuebingen, Otfried-Mueller-Strasse 10, 72076, Tuebingen, Germany.
  • Greally JM; Center for Epigenomics and Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, 10461, USA.
  • Mar JC; Department of Systems and Computational Biology, Albert Einstein College of Medicine, Bronx, NY, 10461, USA. j.mar@uq.edu.au.
BMC Bioinformatics ; 21(Suppl 21): 562, 2020 Dec 28.
Article in En | MEDLINE | ID: mdl-33371881
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Data Interpretation, Statistical / Gene Expression Profiling / Neoplasms Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans / Male / Middle aged Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2020 Type: Article Affiliation country: United States
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Data Interpretation, Statistical / Gene Expression Profiling / Neoplasms Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans / Male / Middle aged Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2020 Type: Article Affiliation country: United States