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Identification of KIF4A and its effect on the progression of lung adenocarcinoma based on the bioinformatics analysis

Background: Lung adenocarcinoma (LUAD) is the most frequent histological type of lung cancer, and its incidence has displayed an upward trend in recent years. Nevertheless, little is known regarding effective biomarkers for LUAD. Methods: The robust rank aggregation method was used to mine different...

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Detalles Bibliográficos
Autores principales:	Song, Yexun, Tang, Wenfang, Li, Hui
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Portland Press Ltd. 2021
Materias:	Bioinformatics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7823194/ https://www.ncbi.nlm.nih.gov/pubmed/33398330 http://dx.doi.org/10.1042/BSR20203973

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