Benchmarking of analytical combinations for COVID-19 outcome prediction using single-cell RNA sequencing data.

Cao, Yue; Ghazanfar, Shila; Yang, Pengyi; Yang, Jean

Cao, Yue; Ghazanfar, Shila; Yang, Pengyi; Yang, Jean.

Afiliação

Cao Y; School of Mathematics and Statistics, The University of Sydney, NSW 2006, Australia.
Ghazanfar S; Charles Perkins Centre, The University of Sydney, NSW 2006, Australia.
Yang P; Sydney Precision Data Science Centre, University of Sydney, NSW 2006, Australia.
Yang J; Laboratory of Data Discovery for Health Limited (D24H), Science Park, Hong Kong SAR, China.

Brief Bioinform ; 24(3)2023 05 19.

Article em En | MEDLINE | ID: mdl-37096588

Assuntos

Benchmarking; COVID-19; Humanos; Perfilação da Expressão Gênica; Aprendizado de Máquina; Análise de Sequência de RNA/métodos

Palavras-chave

COVID-19; benchmark; disease outcome prediction; patient analysis; single-cell

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Benchmarking / COVID-19 Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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