The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Microarray Analysis and Tumor Classification
Abstract
Microarray analysis is a tool that can be used to compare the RNA profile of one cancer with that of another and to determine the diagnosis and prognosis of cancer. This article provides a description of the gene-expression microarray — how it works, how the data are analyzed, and the strengths and limitations of this tool.
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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
Gene-expression profiles predict survival of patients with lung adenocarcinoma
Beer, D. G., Kardia, S. L. R., Huang, C.-C., Giordano, T. J., Levin, A. M., Misek, D. E., Lin, L., Chen, G., Gharib, T. G., Thomas, D. G., et al. (2002) · Nature Medicine · doi:10.1038/nm733 · Cited by 2,025
Microarray data normalization and transformation
Quackenbush, J. (2002) · Nature Genetics · doi:10.1038/ng1032 · Cited by 1,975
Self-citationMultiple-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
Self-citationAccuracy and calibration of commercial oligonucleotide and custom cDNA microarrays
Yuen, T. (2002) · Nucleic Acids Research · doi:10.1093/nar/30.10.e48 · Cited by 520
Cited by
Circulating nucleic acids (CNAs) and cancer—A survey
Fleischhacker, M., & Schmidt, B. (2007) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2006.10.001 · Cited by 851
Ideker, T., & Sharan, R. (2008) · Genome Research · doi:10.1101/gr.071852.107 · Cited by 817
Strategies for discovering novel cancer biomarkers through utilization of emerging technologies
Kulasingam, V., & Diamandis, E. P. (2008) · Nature Clinical Practice Oncology · doi:10.1038/ncponc1187 · Cited by 771
A genomic diagnostic tool for human endometrial receptivity based on the transcriptomic signature
Díaz-Gimeno, P., Horcajadas, J. A., Martínez-Conejero, J. A., Esteban, F. J., Alamá, P., Pellicer, A., & Simón, C. (2011) · Fertility and Sterility · doi:10.1016/j.fertnstert.2010.04.063 · Cited by 687
Gene Expression Signature to Improve Prognosis Prediction of Stage II and III Colorectal Cancer
Salazar, R., Roepman, P., Capella, G., Moreno, V., Simon, I., Dreezen, C., Lopez-Doriga, A., Santos, C., Marijnen, C., Westerga, J., et al. (2011) · Journal of Clinical Oncology · doi:10.1200/jco.2010.30.1077 · Cited by 537
Metadata
- Authors
- Quackenbush, J.
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2006-06-08
- Volume
- 354
- Issue
- 23
- Pages
- 2463-2472
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W2047928920
- Cited by
- 455
- References
- 5
- FWCI
- 22.84
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
