Open AccessGENT: Gene Expression Database of Normal and Tumor Tissues
Author(s) -
Gwangsik Shin,
Tae-Wook Kang,
Sungjin Yang,
SuJin Baek,
Yongsu Jeong,
SeonYoung Kim
Publication year - 2011
Publication title -
cancer informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.606
H-Index - 31
ISSN - 1176-9351
DOI - 10.4137/cin.s7226
Subject(s) - computational biology , outlier , cancer , gene , gene expression , database , gene expression profiling , computer science , biology , bioinformatics , genetics , artificial intelligence
Some oncogenes such as ERBB2 and EGFR are over-expressed in only a subset of patients. Cancer outlier profile analysis is one of computational approaches to identify outliers in gene expression data. A database with a large sample size would be a great advantage when searching for genes over-expressed in only a subset of patients.
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