GMPR: A robust normalization method for zero-inflated count data with application to microbiome sequencing data.

Chen, Li; Reeve, James; Zhang, Lujun; Huang, Shengbing; Wang, Xuefeng; Chen, Jun

Chen, Li; Reeve, James; Zhang, Lujun; Huang, Shengbing; Wang, Xuefeng; Chen, Jun.

Afiliación

Chen L; Department of Health Outcomes Research and Policy, Harrison School of Pharmacy, Auburn University, Auburn, AL, USA.
Reeve J; Bioinformatics and Computational Biology Program, University of Minnesota-Rochester, Rochester, MN, USA.
Zhang L; College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang, China.
Huang S; Bioinformatics and Computational Biology Program, University of Minnesota-Rochester, Rochester, MN, USA.
Wang X; Department of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, FL, USA.
Chen J; Bioinformatics and Computational Biology Program, University of Minnesota-Rochester, Rochester, MN, USA.

PeerJ ; 6: e4600, 2018.

Article en En | MEDLINE | ID: mdl-29629248

Palabras clave

Metagenomics; Microbiome; Normalization; RNA-seq; Statistics; Zero-inflation

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: PeerJ Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos