The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
GSEA-P: a desktop application for Gene Set Enrichment Analysis
Open accessAbstract
Gene Set Enrichment Analysis (GSEA) is a computational method that assesses whether an a priori defined set of genes shows statistically significant, concordant differences between two biological states. We report the availability of a new version of the Java based software (GSEA-P 2.0) that represents a major improvement on the previous release through the addition of a leading edge analysis component, seamless integration with the Molecular Signature Database (MSigDB) and an embedded browser that allows users to search for gene sets and map them to a variety of microarray platform formats. This functionality makes it possible for users to directly import gene sets from MSigDB for analysis with GSEA. We have also improved the visualizations in GSEA-P 2.0 and added links to a new form of concise gene set annotations called Gene Set Cards. These additions, as well as other improvements suggested by over 3500 users who have downloaded the software over the past year have been incorporated into this new release of the GSEA-P Java desktop program. Availability: GSEA-P 2.0 is freely available for academic and commercial users and can be downloaded from http://www.broad.mit.edu/GSEA Contact: mesirov@broad.mit.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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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
Self-citationMootha, 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
Self-citationAn oncogenic KRAS2 expression signature identified by cross-species gene-expression analysis.
Sweet-Cordero, A., Mukherjee, S., Subramanian, A., You, H., Roix, J. J., Ladd-Acosta, C., Mesirov, J., Golub, T. R., & Jacks, T. (2005) · Nature Genetics · doi:10.1038/ng1490 · Cited by 414
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Research works printed but not linked: 3
- Bourquin, 2006, Identification of distinct molecular phenotypes in acute megakaryoblastic leukemia by gene expression profiling, Proc. Natl Acad. Sci. USA, 103, 3339, 10.1073/pnas.0511150103 · DOI
- Liu, 2003, NetAffx: affymetrix probesets and annotations, Nucleic Acids Res, 31, 82, 10.1093/nar/gkg121 · DOI · Paper page
- Rebhan, 1997, GeneCards: Encyclopedia for Genes, Proteins and Diseases, Weizmann Institute of Science, Bioinformatics Unit and Genome Center, Trends in Genetics, 13, 163, 10.1016/S0168-9525(97)01103-7 · DOI · Paper page
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Green, M. R., Vicente-Dueñas, C., Romero-Camarero, I., Long Liu, C., Dai, B., González-Herrero, I., García-Ramírez, I., Alonso-Escudero, E., Iqbal, J., Chan, W. C., et al. (2014) · Nature Communications · doi:10.1038/ncomms4904 · Cited by 88
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Lei, Z., Zhang, K., Li, C., Jiao, T., Wu, J., Wei, Y., Tian, K., Li, C., Tang, D., Davis, D. I., et al. (2019) · BMC Microbiology · doi:10.1186/s12866-019-1400-3 · Cited by 48
Zhang, Z., Na, H., Gan, Q., Tao, Q., Alekseyev, Y., Hu, J., Yan, Z., Yang, J. B., Tian, H., Zhu, S., et al. (2021) · Aging Cell · doi:10.1111/acel.13501 · Cited by 45
Liu, C., Niu, Y., Zhou, X., Zheng, X., Wang, S., Guo, Q., Li, Y., Li, M., Li, J., Yang, Y., et al. (2015) · Scientific Reports · doi:10.1038/srep12929 · Cited by 39
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Mirnics, K., Norstrom, E. M., Garbett, K., Choi, S., Zhang, X., Ebert, P., & Sisodia, S. S. (2008) · Molecular Neurodegeneration · doi:10.1186/1750-1326-3-14 · Cited by 23
Jiang, T. T., Kruglov, O., Lin, G. H. Y., Minic, A., Jordan, K., Uger, R. A., Wong, M., Shou, Y., & Akilov, O. E. (2021) · Cancers · doi:10.3390/cancers13235982 · Cited by 12
Zhang, Z., Lin, W., Gan, Q., Lei, M., Gong, B., Zhang, C., Henrique, J. S., Han, J., Tian, H., Tao, Q., et al. (2024) · Angiogenesis · doi:10.1007/s10456-024-09946-4 · Cited by 10
Liu, J., Wang, X., Lin, J., Li, S., Deng, G., & Wei, J. (2021) · International Journal of General Medicine · doi:10.2147/ijgm.s329005 · Cited by 8
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Metadata
- Authors
- Subramanian, A., Kuehn, H., Gould, J., Tamayo, P., & Mesirov, J. P.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-07-20
- Volume
- 23
- Issue
- 23
- Pages
- 3251-3253
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2134582937
- Cited by
- 1,390
- References
- 3
- FWCI
- 10.66
- Type
- journal article
- Language
- en
- Open access
- bronze
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