Identification of potential key genes related to idiopathic male infertility using RNA-sequencing data: an <i>in-silico</i> approach.

Lukkani, Laxman Kumar; Naorem, Leimarembi Devi; Muthaiyan, Mathavan; Venkatesan, Amouda

Identification of potential key genes related to idiopathic male infertility using RNA-sequencing data: an in-silico approach.

Lukkani, Laxman Kumar; Naorem, Leimarembi Devi; Muthaiyan, Mathavan; Venkatesan, Amouda.

Afiliación

Lukkani LK; Department of Bioinformatics, School of Life Sciences, Pondicherry University, Pondicherry, India.
Naorem LD; Department of Bioinformatics, School of Life Sciences, Pondicherry University, Pondicherry, India.
Muthaiyan M; Department of Bioinformatics, School of Life Sciences, Pondicherry University, Pondicherry, India.
Venkatesan A; Department of Bioinformatics, School of Life Sciences, Pondicherry University, Pondicherry, India.

Hum Fertil (Camb) ; : 1-15, 2022 Nov 12.

Article en En | MEDLINE | ID: mdl-36369953

Palabras clave

Idiopathic infertility; differentially expressed genes; gene ontology; hub genes; in silico; network analysis; pathways

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Hum Fertil (Camb) Asunto de la revista: MEDICINA REPRODUTIVA Año: 2022 Tipo del documento: Article País de afiliación: India Pais de publicación: Reino Unido

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