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Omics community detection using multi-resolution clustering.
Rahnavard, Ali; Chatterjee, Suvo; Sayoldin, Bahar; Crandall, Keith A; Tekola-Ayele, Fasil; Mallick, Himel.
Afiliação
  • Rahnavard A; Department of Biostatistics and Bioinformatics, Computational Biology Institute, Milken Institute School of Public Health, The George Washington University, Washington, DC 20052, USA.
  • Chatterjee S; Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA.
  • Sayoldin B; School of Systems Biology, College of Science, George Mason University, Fairfax, VA 22030, USA.
  • Crandall KA; Department of Biostatistics and Bioinformatics, Computational Biology Institute, Milken Institute School of Public Health, The George Washington University, Washington, DC 20052, USA.
  • Tekola-Ayele F; Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA.
  • Mallick H; Biostatistics and Research Decision Sciences, Merck & Co., Inc, Rahway, NJ 07065, USA.
Bioinformatics ; 37(20): 3588-3594, 2021 Oct 25.
Article em En | MEDLINE | ID: mdl-33974004
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
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PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos