Integrative Deep Learning for Identifying Differentially Expressed (DE) Biomarkers

As a large amount of genetic data are accumulated, an effective analytical method and a significant interpretation are required. Recently, various methods of machine learning have emerged to process genetic data. In addition, machine learning analysis tools using statistical models have been propose...

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Detalles Bibliográficos
Autores principales: Lim, Jayeon, Bang, SoYoun, Kim, Jiyeon, Park, Cheolyong, Cho, JunSang, Kim, SungHwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6935456/
https://www.ncbi.nlm.nih.gov/pubmed/31915462
http://dx.doi.org/10.1155/2019/8418760

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6935456/
https://www.ncbi.nlm.nih.gov/pubmed/31915462
http://dx.doi.org/10.1155/2019/8418760

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