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DiffCircaPipeline: a framework for multifaceted characterization of differential rhythmicity.
Xue, Xiangning; Zong, Wei; Huo, Zhiguang; Ketchesin, Kyle D; Scott, Madeline R; Petersen, Kaitlyn A; Logan, Ryan W; Seney, Marianne L; McClung, Colleen; Tseng, George.
Afiliação
  • Xue X; Department of Biostatistics, Graduate School of Public Health University of Pittsburgh, Pittsburgh, PA 15213, USA.
  • Zong W; Department of Biostatistics, Graduate School of Public Health University of Pittsburgh, Pittsburgh, PA 15213, USA.
  • Huo Z; Department of Biostatistics, University of Florida, Gainesville, FL 32603, USA.
  • Ketchesin KD; Translational Neuroscience Program, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15219, USA.
  • Scott MR; Translational Neuroscience Program, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15219, USA.
  • Petersen KA; Translational Neuroscience Program, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15219, USA.
  • Logan RW; Department of Pharmacology and Experimental Therapeutics, Boston University School of Medicine, Boston, MA 02118, USA.
  • Seney ML; Translational Neuroscience Program, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15219, USA.
  • McClung C; Translational Neuroscience Program, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15219, USA.
  • Tseng G; Department of Biostatistics, Graduate School of Public Health University of Pittsburgh, Pittsburgh, PA 15213, USA.
Bioinformatics ; 39(1)2023 01 01.
Article em En | MEDLINE | ID: mdl-36655766
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Periodicidade / Software Tipo de estudo: Prognostic_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Periodicidade / Software Tipo de estudo: Prognostic_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos