ARMT: An automatic RNA-seq data mining tool based on comprehensive and integrative analysis in cancer research

The comprehensive and integrative analysis of RNA-seq data, in different molecular layers from diverse samples, holds promise to address the full-scale complexity of biological systems. Recent advances in gene set variant analysis (GSVA) are providing exciting opportunities for revealing the specifi...

Descripción completa

Detalles Bibliográficos
Autores principales: Huang, Guanda, Zhang, Haibo, Qu, Yimo, Huang, Kaitang, Gong, Xiaocheng, Wei, Jinfen, Du, Hongli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8379379/
https://www.ncbi.nlm.nih.gov/pubmed/34471489
http://dx.doi.org/10.1016/j.csbj.2021.08.009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8379379/
https://www.ncbi.nlm.nih.gov/pubmed/34471489
http://dx.doi.org/10.1016/j.csbj.2021.08.009

Ejemplares similares