NPARS-A Novel Approach to Address Accuracy and Reproducibility in Genomic Data Science.

Ma, Li; Peterson, Erich A; Shin, Ik Jae; Muesse, Jason; Marino, Katy; Steliga, Matthew A; Johann, Donald J

Ma, Li; Peterson, Erich A; Shin, Ik Jae; Muesse, Jason; Marino, Katy; Steliga, Matthew A; Johann, Donald J.

Afiliação

Ma L; Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR, United States.
Peterson EA; Department of Information Science, University of Arkansas at Little Rock, Little Rock, AR, United States.
Shin IJ; Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR, United States.
Muesse J; Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR, United States.
Marino K; Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR, United States.
Steliga MA; Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR, United States.
Johann DJ; Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR, United States.

Front Big Data ; 4: 725095, 2021.

Article em En | MEDLINE | ID: mdl-34647017

Palavras-chave

accuracy; analytic validity; data science; genomics; reproducibility

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Big Data Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

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