Analysis of Gene Expression Data Using BRB-Array Tools

By Richard M. Simon, Amy Lam, Ming-Chung Li, Michael Ngan, Supriya Menenzes, Yingdong Zhao. Cancer Informatics, 2007

676 citations recorded by the source corpus.

BRB-ArrayTools is an integrated software system for the comprehensive analysis of DNA microarray experiments. It was developed by professional biostatisticians experienced in the design and analysis of DNA microarray studies and incorporates methods developed by leading statistical laboratories. The software is designed for use by biomedical scientists who wish to have access to state-of-the-art statistical methods for the analysis of gene expression data and to receive training in the statistical analysis of high dimensional data. The software provides the most extensive set of tools available for predictive classifier development and complete cross-validation. It offers extensive links to genomic websites for gene annotation and analysis tools for pathway analysis. An archive of over 100 datasets of published microarray data with associated clinical data is provided and BRB-ArrayTools automatically imports data from the Gene Expression Omnibus public archive at the National Center for Biotechnology Information.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/f6edc533f623e720bf29df2d75606a42328c9104

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Citations in the corpus

• Tumor cell biodiversity drives microenvironmental reprogramming in liver cancer (2019, methodology): “0) (Simon et al., 2007) developed by Biometric Research Branch of National Cancer Institute was applied for overall survival analysis of two CCA cohorts (i.”