The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Analysis of Gene Expression Data Using BRB-Array Tools
Open accessAbstract
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.
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Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
Cluster analysis and display of genome-wide expression patterns
Eisen, M. B., Spellman, P. T., Brown, P. O., & Botstein, D. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.25.14863 · Cited by 16,184
Mootha, V. K., Lindgren, C. M., Eriksson, K.-F., Subramanian, A., Sihag, S., Lehar, J., Puigserver, P., Carlsson, E., Ridderstråle, M., Laurila, E., et al. (2003) · Nature Genetics · doi:10.1038/ng1180 · Cited by 10,197
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A Stable and Reproducible Human Blood-Brain Barrier Model Derived from Hematopoietic Stem Cells
Cecchelli, R., Aday, S., Sevin, E., Almeida, C., Culot, M., Dehouck, L., Coisne, C., Engelhardt, B., Dehouck, M.-P., & Ferreira, L. (2014) · PLoS ONE · doi:10.1371/journal.pone.0099733 · Cited by 349
Large conserved domains of low DNA methylation maintained by Dnmt3a
Jeong, M., Sun, D., Luo, M., Huang, Y., Challen, G. A., Rodriguez, B., Zhang, X., Chavez, L., Wang, H., Hannah, R., et al. (2014) · Nature Genetics · doi:10.1038/ng.2836 · Cited by 324
Adaptation of a RAS pathway activation signature from FF to FFPE tissues in colorectal cancer
Omolo, B., Yang, M., Lo, F. Y., Schell, M. J., Austin, S., Howard, K., Madan, A., & Yeatman, T. J. (2016) · BMC Medical Genomics · doi:10.1186/s12920-016-0225-2 · Cited by 25
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Metadata
- Authors
- Simon, R., Lam, A., Li, M.-C., Ngan, M., Menenzes, S., & Zhao, Y.
- Venue
- Cancer Informatics
- Publisher
- SAGE Publications
- Published
- 2007-01
- Volume
- 3
- Pages
- 117693510700300
- ISSN
- 1176-9351 (ISSN-L)
- OpenAlex
- W4242743062
- Cited by
- 626
- References
- 4
- FWCI
- 5.99
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
