The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A gene-expression signature to predict survival in breast cancer across independent data sets
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Citations
Cites
Gene expression profiling predicts clinical outcome of breast cancer
van 't Veer, L. J., Dai, H., van de Vijver, M. J., He, Y. D., Hart, A. A. M., Mao, M., Peterse, H. L., van der Kooy, K., Marton, M. J., Witteveen, A. T., et al. (2002) · Nature · doi:10.1038/415530a · Cited by 9,536
Multiple-laboratory comparison of microarray platforms
Irizarry, R. A., Warren, D., Spencer, F., Kim, I. F., Biswal, S., Frank, B. C., Gabrielson, E., Garcia, J. G. N., Geoghegan, J., Germino, G., et al. (2005) · Nature Methods · doi:10.1038/nmeth756 · Cited by 862
A new measure of prognostic separation in survival data
Royston, P., & Sauerbrei, W. (2004) · Statistics in Medicine · doi:10.1002/sim.1621 · Cited by 450 · cited 9×
“Using two different prognostic classification schemes and measures, nearest centroid (HR) and risk ordering (D-index), the 70-gene classifier was also found to be prognostic in two independent external data sets.”
MethodInfluential
Cited by
Biological subtypes of breast cancer: Prognostic and therapeutic implications
Yersal, O. (2014) · World Journal of Clinical Oncology · doi:10.5306/wjco.v5.i3.412 · Cited by 1,156
Wirapati, P., Sotiriou, C., Kunkel, S., Farmer, P., Pradervand, S., Haibe-Kains, B., Desmedt, C., Ignatiadis, M., Sengstag, T., Schütz, F., et al. (2008) · Breast Cancer Research · doi:10.1186/bcr2124 · Cited by 891
Vaske, C. J., Benz, S. C., Sanborn, J. Z., Earl, D., Szeto, C., Zhu, J., Haussler, D., & Stuart, J. M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq182 · Cited by 786
Generalized power method for sparse principal component analysis
Journée, M., Nesterov, Y. E., Richtárik, P., & Sepulchre, R. J. (2008) · arXiv (Cornell University) · doi:10.48550/arxiv.0811.4724 · Cited by 473
Molecular heterogeneity of breast carcinomas and the cancer stem cell hypothesis
Stingl, J., & Caldas, C. (2007) · Nature Reviews Cancer · doi:10.1038/nrc2212 · Cited by 470
Self-citation
Metadata
- Authors
- Naderi, A., Teschendorff, A. E., Barbosa-Morais, N. L., Pinder, S. E., Green, A. R., Powe, D. G., Robertson, J. F. R., Aparicio, S., Ellis, I. O., Brenton, J. D., & Caldas, C.
- Venue
- Oncogene
- Published
- 2006-08-28
- Volume
- 26
- Issue
- 10
- Pages
- 1507-1516
- ISSN
- 0950-9232 (ISSN-L)
- 1476-5594
- OpenAlex
- W2068497347
- Cited by
- 256
- References
- 3
- FWCI
- 9.04
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A gene-expression signature to predict survival in breast cancer across independent data sets. https://app.cochat.ai/papers/10.1038/sj.onc.1209920
- The paper
- Naderi, A., Teschendorff, A. E., Barbosa-Morais, N. L., Pinder, S. E., Green, A. R., Powe, D. G., Robertson, J. F. R., Aparicio, S., Ellis, I. O., Brenton, J. D., & Caldas, C. (2007). A gene-expression signature to predict survival in breast cancer across independent data sets. Oncogene. https://doi.org/10.1038/sj.onc.1209920
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
