SurvJamda: an R package to predict patients' survival and risk assessment using joint analysis of microarray gene expression data | Zendy

Haleh Yasrebi | Zendy

Open Access

SurvJamda: an R package to predict patients' survival and risk assessment using joint analysis of microarray gene expression data

Author(s) -

Haleh Yasrebi

Publication year - 2011

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btr103

Subject(s) - r package , joint (building) , microarray analysis techniques , computer science , microarray , data mining , gene chip analysis , survival analysis , sample size determination , data set , feature selection , meta analysis , sample (material) , set (abstract data type) , computational biology , gene , statistics , artificial intelligence , gene expression , biology , medicine , genetics , mathematics , engineering , chromatography , architectural engineering , computational science , chemistry , programming language

SurvJamda (Survival prediction by joint analysis of microarray data) is an R package that utilizes joint analysis of microarray gene expression data to predict patients' survival and risk assessment. Joint analysis can be performed by merging datasets or meta-analysis to increase the sample size and to improve survival prognosis. The prognosis performance derived from the combined datasets can be assessed to determine which feature selection approach, joint analysis method and bias estimation provide the most robust prognosis for a given set of datasets.

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