Patient-oriented gene set analysis for cancer mutation data

被引：58

作者：

Boca, Simina M. ^{[2
]}

Kinzler, Kenneth W. ^{[3
,4
]}

Velculescu, Victor E. ^{[3
,4
]}

Vogelstein, Bert ^{[3
,4
]}

Parmigiani, Giovanni ^{[1
,5
]}

机构：

[1] Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA

[2] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Biostat, Baltimore, MD 21205 USA

[3] Johns Hopkins Kimmel Canc Ctr, Ludwig Ctr Canc Genet & Therapeut, Baltimore, MD 21231 USA

[4] Johns Hopkins Kimmel Canc Ctr, Howard Hughes Med Inst, Baltimore, MD 21231 USA

[5] Dana Farber Canc Inst, Dept Biostat & Computat Biol, Boston, MA 02115 USA

来源：

GENOME BIOLOGY | 2010年 / 11卷 / 11期

关键词：

HUMAN BREAST; EXPRESSION; GENOME;

D O I：

10.1186/gb-2010-11-11-r112

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

Recent research has revealed complex heterogeneous genomic landscapes in human cancers. However, mutations tend to occur within a core group of pathways and biological processes that can be grouped into gene sets. To better understand the significance of these pathways, we have developed an approach that initially scores each gene set at the patient rather than the gene level. In mutation analysis, these patient-oriented methods are more transparent, interpretable, and statistically powerful than traditional gene-oriented methods.

引用

页数：10

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