iIL13Pred: improved prediction of IL-13 inducing peptides using popular machine learning classifiers.

Arora, Pooja; Periwal, Neha; Goyal, Yash; Sood, Vikas; Kaur, Baljeet

Arora, Pooja; Periwal, Neha; Goyal, Yash; Sood, Vikas; Kaur, Baljeet.

Afiliação

Arora P; Department of Zoology, Hansraj College, University of Delhi, Delhi, India. pooja@hrc.du.ac.in.
Periwal N; Department of Biochemistry, Jamia Hamdard, Delhi, India.
Goyal Y; Department of Computer Science, Hansraj College, University of Delhi, Delhi, India.
Sood V; Department of Biochemistry, Jamia Hamdard, Delhi, India.
Kaur B; Department of Computer Science, Hansraj College, University of Delhi, Delhi, India. baljeetkaur26@hotmail.com.

BMC Bioinformatics ; 24(1): 141, 2023 Apr 11.

Article em En | MEDLINE | ID: mdl-37041520

Assuntos

COVID-19; Interleucina-13; Humanos; Teorema de Bayes; Peptídeos; Aprendizado de Máquina

Palavras-chave

Feature selection; IL-13; IL-13 peptides; Machine learning; Peptide prediction; mRMR

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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Interleucina-13 / COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: BMC Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Índia

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