Meta-Analysis of Esophageal Cancer Transcriptomes Using Independent Component Analysis

Independent Component Analysis is a matrix factorization method for data dimension reduction. ICA has been widely applied for the analysis of transcriptomic data for blind separation of biological, environmental, and technical factors affecting gene expression. The study aimed to analyze the publicl...

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Detalles Bibliográficos
Autores principales: Ashenova, Ainur, Daniyarov, Asset, Molkenov, Askhat, Sharip, Aigul, Zinovyev, Andrei, Kairov, Ulykbek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594933/
https://www.ncbi.nlm.nih.gov/pubmed/34795689
http://dx.doi.org/10.3389/fgene.2021.683632

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594933/
https://www.ncbi.nlm.nih.gov/pubmed/34795689
http://dx.doi.org/10.3389/fgene.2021.683632

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