The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Meta-analysis of microarray data on pancreatic cancer defines a set of commonly dysregulated genes
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Citations
Cites
Statistical significance for genomewide studies
Storey, J. D., & Tibshirani, R. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1530509100 · Cited by 9,692
Prognostically Useful Gene-Expression Profiles in Acute Myeloid Leukemia
Valk, P. J. M., Verhaak, R. G. W., Beijen, M. A., Erpelinck, C. A. J., van Doorn-Khosrovani, S. B. V. W., Boer, J. M., Beverloo, H. B., Moorhouse, M. J., van der Spek, P. J., Löwenberg, B., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa040465 · Cited by 1,370
Hazlehurst, L. A., Landowski, T. H., & Dalton, W. S. (2003) · Oncogene · doi:10.1038/sj.onc.1206943 · Cited by 203 · cited 1×
“The integrin-mediated cell adhesion signaling and the PI3K signaling pathways play an important role in mediating the CAM-DR phenotype (Hazlehurst et al., 2003).”
Background
Cited by
Regularized gene selection in cancer microarray meta-analysis
Ma, S., & Huang, J. (2009) · BMC Bioinformatics · doi:10.1186/1471-2105-10-1 · Cited by 831
Key Issues in Conducting a Meta-Analysis of Gene Expression Microarray Datasets
Ramasamy, A., Mondry, A., Holmes, C. C., & Altman, D. G. (2008) · PLoS Medicine · doi:10.1371/journal.pmed.0050184 · Cited by 536
Comprehensive literature review and statistical considerations for microarray meta-analysis
Tseng, G. C., Ghosh, D., & Feingold, E. (2012) · Nucleic Acids Research · doi:10.1093/nar/gkr1265 · Cited by 526
Zhang, G., Schetter, A., He, P., Funamizu, N., Gaedcke, J., Ghadimi, B. M., Ried, T., Hassan, R., Yfantis, H. G., Lee, D. H., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0031507 · Cited by 259
Finney, C. A., Delerue, F., Gold, W. A., Brown, D. A., & Shvetcov, A. (2023) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2022.12.018 · Cited by 22
Metadata
- Authors
- Grützmann, R., Boriss, H., Ammerpohl, O., Lüttges, J., Kalthoff, H., Schackert, H. K., Klöppel, G., Saeger, H. D., & Pilarsky, C.
- Venue
- Oncogene
- Published
- 2005-05-16
- Volume
- 24
- Issue
- 32
- Pages
- 5079-5088
- ISSN
- 0950-9232 (ISSN-L)
- 1476-5594
- OpenAlex
- W2010168796
- Cited by
- 201
- References
- 3
- FWCI
- 1.04
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- This page
- CoChat. (2026). Citation check: Meta-analysis of microarray data on pancreatic cancer defines a set of commonly dysregulated genes. https://app.cochat.ai/papers/10.1038/sj.onc.1208696
- The paper
- Grützmann, R., Boriss, H., Ammerpohl, O., Lüttges, J., Kalthoff, H., Schackert, H. K., Klöppel, G., Saeger, H. D., & Pilarsky, C. (2005). Meta-analysis of microarray data on pancreatic cancer defines a set of commonly dysregulated genes. Oncogene. https://doi.org/10.1038/sj.onc.1208696
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.
