Cargando…
Identifying the miRNA signature associated with survival time in patients with lung adenocarcinoma using miRNA expression profiles
Lung adenocarcinoma is a multifactorial disease. MicroRNA (miRNA) expression profiles are extensively used for discovering potential theranostic biomarkers of lung cancer. This work proposes an optimized support vector regression (SVR) method called SVR-LUAD to simultaneously identify a set of miRNA...
Autores principales: | Yerukala Sathipati, Srinivasulu, Ho, Shinn-Ying |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5548864/ https://www.ncbi.nlm.nih.gov/pubmed/28790336 http://dx.doi.org/10.1038/s41598-017-07739-y |
Ejemplares similares
-
Identification of the miRNA signature associated with survival in patients with ovarian cancer
por: Sathipati, Srinivasulu Yerukala, et al.
Publicado: (2021) -
Survival associated miRNA signature in patients with head and neck carcinomas
por: Yerukala Sathipati, Srinivasulu, et al.
Publicado: (2023) -
Identifying a miRNA signature for predicting the stage of breast cancer
por: Yerukala Sathipati, Srinivasulu, et al.
Publicado: (2018) -
Novel miRNA signature for predicting the stage of hepatocellular carcinoma
por: Yerukala Sathipati, Srinivasulu, et al.
Publicado: (2020) -
Artificial intelligence-driven pan-cancer analysis reveals miRNA signatures for cancer stage prediction
por: Yerukala Sathipati, Srinivasulu, et al.
Publicado: (2023)