Batch effect detection and correction in RNA-seq data using machine-learning-based automated assessment of quality.

Sprang, Maximilian; Andrade-Navarro, Miguel A; Fontaine, Jean-Fred

Sprang, Maximilian; Andrade-Navarro, Miguel A; Fontaine, Jean-Fred.

Afiliación

Sprang M; Faculty of Biology, Johannes Gutenberg-Universität Mainz, Biozentrum I, Hans-Dieter-Hüsch-Weg 15, 55128, Mainz, Germany. masprang@uni-mainz.de.
Andrade-Navarro MA; Faculty of Biology, Johannes Gutenberg-Universität Mainz, Biozentrum I, Hans-Dieter-Hüsch-Weg 15, 55128, Mainz, Germany.
Fontaine JF; Faculty of Biology, Johannes Gutenberg-Universität Mainz, Biozentrum I, Hans-Dieter-Hüsch-Weg 15, 55128, Mainz, Germany.

BMC Bioinformatics ; 23(Suppl 6): 279, 2022 Jul 14.

Article en En | MEDLINE | ID: mdl-35836114

Asunto(s)

Algoritmos; Programas Informáticos; Análisis por Conglomerados; Aprendizaje Automático; RNA-Seq

Palabras clave

Artifacts; Batch effect; Batch effect origin; Bioinformatics; Machine learning; NGS; Next-generation sequencing; Quality control; RNA-seq

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Algoritmos / Programas Informáticos Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Año: 2022 Tipo del documento: Article

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