SURVIV for survival analysis of mRNA isoform variation

Clinical RNA-seq datasets can predict clinical outcomes. Here, Shen et al. report a statistical method for survival analysis of mRNA isoform variation using clinical RNA-seq datasets, and the identified isoform based survival predictors outperform gene expression based survival predictors using TCGA...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Shihao Shen, Yuanyuan Wang, Chengyang Wang, Ying Nian Wu, Yi Xing
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2016
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/878abcf0683c4598850a49031fae1fc1
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:878abcf0683c4598850a49031fae1fc1
record_format	dspace
spelling	oai:doaj.org-article:878abcf0683c4598850a49031fae1fc12021-12-02T16:49:57ZSURVIV for survival analysis of mRNA isoform variation10.1038/ncomms115482041-1723https://doaj.org/article/878abcf0683c4598850a49031fae1fc12016-06-01T00:00:00Zhttps://doi.org/10.1038/ncomms11548https://doaj.org/toc/2041-1723Clinical RNA-seq datasets can predict clinical outcomes. Here, Shen et al. report a statistical method for survival analysis of mRNA isoform variation using clinical RNA-seq datasets, and the identified isoform based survival predictors outperform gene expression based survival predictors using TCGA data on six cancer types.Shihao ShenYuanyuan WangChengyang WangYing Nian WuYi XingNature PortfolioarticleScienceQENNature Communications, Vol 7, Iss 1, Pp 1-11 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Shihao Shen Yuanyuan Wang Chengyang Wang Ying Nian Wu Yi Xing SURVIV for survival analysis of mRNA isoform variation
description	Clinical RNA-seq datasets can predict clinical outcomes. Here, Shen et al. report a statistical method for survival analysis of mRNA isoform variation using clinical RNA-seq datasets, and the identified isoform based survival predictors outperform gene expression based survival predictors using TCGA data on six cancer types.
format	article
author	Shihao Shen Yuanyuan Wang Chengyang Wang Ying Nian Wu Yi Xing
author_facet	Shihao Shen Yuanyuan Wang Chengyang Wang Ying Nian Wu Yi Xing
author_sort	Shihao Shen
title	SURVIV for survival analysis of mRNA isoform variation
title_short	SURVIV for survival analysis of mRNA isoform variation
title_full	SURVIV for survival analysis of mRNA isoform variation
title_fullStr	SURVIV for survival analysis of mRNA isoform variation
title_full_unstemmed	SURVIV for survival analysis of mRNA isoform variation
title_sort	surviv for survival analysis of mrna isoform variation
publisher	Nature Portfolio
publishDate	2016
url	https://doaj.org/article/878abcf0683c4598850a49031fae1fc1
work_keys_str_mv	AT shihaoshen survivforsurvivalanalysisofmrnaisoformvariation AT yuanyuanwang survivforsurvivalanalysisofmrnaisoformvariation AT chengyangwang survivforsurvivalanalysisofmrnaisoformvariation AT yingnianwu survivforsurvivalanalysisofmrnaisoformvariation AT yixing survivforsurvivalanalysisofmrnaisoformvariation
_version_	1718383169659469824

SURVIV for survival analysis of mRNA isoform variation

Ejemplares similares