Identifying the miRNA signature associated with survival time in patients with lung adenocarcinoma using miRNA expression profiles
Abstract 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...
Guardado en:
Autores principales: | Srinivasulu Yerukala Sathipati, Shinn-Ying Ho |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2017
|
Materias: | |
Acceso en línea: | https://doaj.org/article/071f0e818b704eceb31f311cc2d18612 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Impact of cellular miRNAs on circulating miRNA biomarker signatures.
por: Radha Duttagupta, et al.
Publicado: (2011) -
A Novel Risk-Score Model With Eight MiRNA Signatures for Overall Survival of Patients With Lung Adenocarcinoma
por: Jun Wu, et al.
Publicado: (2021) -
Serum miRNA signature in Moyamoya disease.
por: Dongwei Dai, et al.
Publicado: (2014) -
miRConnect: identifying effector genes of miRNAs and miRNA families in cancer cells.
por: Youjia Hua, et al.
Publicado: (2011) -
Impact of host genes and strand selection on miRNA and miRNA* expression.
por: Marta Biasiolo, et al.
Publicado: (2011)