Identification of non-Hodgkin's lymphoma prognosis signatures using the CTGDR method | Zendy

Shuangge Ma | Zendy; Yawei Zhang | Zendy; Jian Huang | Zendy; Xuesong Han | Zendy; Theodore R. Holford | Zendy; Qing Lan | Zendy; Nathaniel Rothman | Zendy; Peter Boyle | Zendy; Tongzhang Zheng | Zendy

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Identification of non-Hodgkin's lymphoma prognosis signatures using the CTGDR method

Author(s) -

Shuangge Ma,

Yawei Zhang,

Jian Huang,

Xuesong Han,

Theodore R. Holford,

Qing Lan,

Nathaniel Rothman,

Peter Boyle,

Tongzhang Zheng

Publication year - 2009

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/btp604

Subject(s) - single nucleotide polymorphism , snp , biology , computational biology , gene , genetics , genotype

Although NHL (non-Hodgkin's lymphoma) is the fifth leading cause of cancer incidence and mortality in the USA, it remains poorly understood and is largely incurable. Biomedical studies have shown that genomic variations, measured with SNPs (single nucleotide polymorphisms) in genes, may have independent predictive power for disease-free survival in NHL patients beyond clinical measurements.

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