Dimension reduction methods for microarrays with application to censored survival data | Zendy

Lexin Li | Zendy; Hongzhe Li | Zendy

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Dimension reduction methods for microarrays with application to censored survival data

Author(s) -

Lexin Li,

Hongzhe Li

Publication year - 2004

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/bth415

Subject(s) - dimension (graph theory) , dimensionality reduction , reduction (mathematics) , computer science , statistics , dna microarray , biology , mathematics , genetics , artificial intelligence , combinatorics , gene expression , gene , geometry

Recent research has shown that gene expression profiles can potentially be used for predicting various clinical phenotypes, such as tumor class, drug response and survival time. While there has been extensive studies on tumor classification, there has been less emphasis on other phenotypic features, in particular, patient survival time or time to cancer recurrence, which are subject to right censoring. We consider in this paper an analysis of censored survival time based on microarray gene expression profiles.

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