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A gene expression database for the molecular pharmacology of cancer
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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
Self-citationA leisurely look at the bootstrap, the jackknife, and cross-validation
Efron, B., & Gong, G. (1983) · The American Statistician · doi:10.1080/00031305.1983.10483087 · Cited by 3,229
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RNA-seq: An assessment of technical reproducibility and comparison with gene expression arrays
Marioni, J. C., Mason, C. E., Mane, S. M., Stephens, M., & Gilad, Y. (2008) · Genome Research · doi:10.1101/gr.079558.108 · Cited by 2,771
Systematic variation in gene expression patterns in human cancer cell lines
Ross, D. T., Scherf, U., Eisen, M. B., Perou, C. M., Rees, C., Spellman, P., Iyer, V., Jeffrey, S. S., Van de Rijn, M., Waltham, M., et al. (2000) · Nature Genetics · doi:10.1038/73432 · Cited by 2,088
Self-citationCandidate-gene approaches for studying complex genetic traits: practical considerations
Tabor, H. K., Risch, N. J., & Myers, R. M. (2002) · Nature Reviews Genetics · doi:10.1038/nrg796 · Cited by 1,076
Reinhold, W. C., Sunshine, M., Liu, H., Varma, S., Kohn, K. W., Morris, J., Doroshow, J., & Pommier, Y. (2012) · Cancer Research · doi:10.1158/0008-5472.can-12-1370 · Cited by 887
Self-citationGaur, A., Jewell, D. A., Liang, Y., Ridzon, D., Moore, J. H., Chen, C., Ambros, V. R., & Israel, M. A. (2007) · Cancer Research · doi:10.1158/0008-5472.can-06-2698 · Cited by 727
Multidimensional Drug Profiling By Automated Microscopy
Perlman, Z. E., Slack, M. D., Feng, Y., Mitchison, T. J., Wu, L. F., & Altschuler, S. J. (2004) · Science · doi:10.1126/science.1100709 · Cited by 660
Reliability and reproducibility issues in DNA microarray measurements
DRAGHICI, S., KHATRI, P., EKLUND, A., & SZALLASI, Z. (2006) · Trends in Genetics · doi:10.1016/j.tig.2005.12.005 · Cited by 590
HSP90 as a new therapeutic target for cancer therapy: the story unfolds
Maloney, A., & Workman, P. (2002) · Expert Opinion on Biological Therapy · doi:10.1517/14712598.2.1.3 · Cited by 531
Iizuka, N., Oka, M., Yamada-Okabe, H., Nishida, M., Maeda, Y., Mori, N., Takao, T., Tamesa, T., Tangoku, A., Tabuchi, H., et al. (2003) · The Lancet · doi:10.1016/s0140-6736(03)12775-4 · Cited by 511
Oncogenic K‐Ras decouples glucose and glutamine metabolism to support cancer cell growth
Gaglio, D., Metallo, C. M., Gameiro, P. A., Hiller, K., Danna, L. S., Balestrieri, C., Alberghina, L., Stephanopoulos, G., & Chiaradonna, F. (2011) · Molecular Systems Biology · doi:10.1038/msb.2011.56 · Cited by 492
Gillet, J.-P., Calcagno, A. M., Varma, S., Marino, M., Green, L. J., Vora, M. I., Patel, C., Orina, J. N., Eliseeva, T. A., Singal, V., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1111840108 · Cited by 477
The pediatric preclinical testing program: Description of models and early testing results
Houghton, P. J., Morton, C. L., Tucker, C., Payne, D., Favours, E., Cole, C., Gorlick, R., Kolb, E. A., Zhang, W., Lock, R., et al. (2007) · Pediatric Blood & Cancer · doi:10.1002/pbc.21078 · Cited by 480
Lesko, L., & Atkinson, A. (2001) · Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev.pharmtox.41.1.347 · Cited by 465
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Ooko, E., Saeed, M. E. M., Kadioglu, O., Sarvi, S., Colak, M., Elmasaoudi, K., Janah, R., Greten, H. J., & Efferth, T. (2015) · Phytomedicine · doi:10.1016/j.phymed.2015.08.002 · Cited by 387
Discovery of multi-dimensional modules by integrative analysis of cancer genomic data
Zhang, S., Liu, C.-C., Li, W., Shen, H., Laird, P. W., & Zhou, X. J. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks725 · Cited by 374
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Ramaswamy, S., & Golub, T. R. (2002) · Journal of Clinical Oncology · doi:10.1200/jco.2002.20.7.1932 · Cited by 379
Identification of PDGFR as a receptor for AAV-5 transduction
Pasquale, G. D., Davidson, B. L., Stein, C. S., Martins, I., Scudiero, D., Monks, A., & Chiorini, J. A. (2003) · Nature Medicine · doi:10.1038/nm929 · Cited by 355
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Kamb, A. (2005) · Nature Reviews Drug Discovery · doi:10.1038/nrd1635 · Cited by 335
Global Proteome Analysis of the NCI-60 Cell Line Panel
Gholami, A. M., Hahne, H., Wu, Z., Auer, F. J., Meng, C., Wilhelm, M., & Kuster, B. (2013) · Cell Reports · doi:10.1016/j.celrep.2013.07.018 · Cited by 302
The exomes of the NCI-60 panel: a genomic resource for cancer biology and systems pharmacology
Abaan, O. D., Polley, E. C., Davis, S. R., Zhu, Y. J., Bilke, S., Walker, R. L., Pineda, M., Gindin, Y., Jiang, Y., Reinhold, W. C., et al. (2013) · Cancer Research · doi:10.1158/0008-5472.can-12-3342 · Cited by 288
Enhancement of cytotoxicity of artemisinins toward cancer cells by ferrous iron
Efferth, T., Benakis, A., Romero, M. R., Tomicic, M., Rauh, R., Steinbach, D., Häfer, R., Stamminger, T., Oesch, F., Kaina, B., et al. (2004) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2004.06.023 · Cited by 266
Perturbational profiling of nanomaterial biologic activity
Shaw, S. Y., Westly, E. C., Pittet, M. J., Subramanian, A., Schreiber, S. L., & Weissleder, R. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0802878105 · Cited by 248
Watson, M., Roulston, A., Bélec, L., Billot, X., Marcellus, R., Bédard, D., Bernier, C., Branchaud, S., Chan, H., Dairi, K., et al. (2009) · Molecular and Cellular Biology · doi:10.1128/mcb.00112-09 · Cited by 229
Murai, J., Thomas, A., Miettinen, M., & Pommier, Y. (2019) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2019.05.009 · Cited by 172
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Caponigro, G., & Sellers, W. R. (2011) · Nature Reviews Drug Discovery · doi:10.1038/nrd3385 · Cited by 165
DNA fingerprinting of the NCI-60 cell line panel
Lorenzi, P. L., Reinhold, W. C., Varma, S., Hutchinson, A. A., Pommier, Y., Chanock, S. J., & Weinstein, J. N. (2009) · Molecular Cancer Therapeutics · doi:10.1158/1535-7163.mct-08-0921 · Cited by 166
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Niu, N., & Wang, L. (2015) · Pharmacogenomics · doi:10.2217/pgs.14.170 · Cited by 162
Liscovitch, M., & Ravid, D. (2007) · Cancer Letters · doi:10.1016/j.canlet.2006.01.013 · Cited by 152
Jansen, A. P., Camalier, C. E., Stark, C., & Colburn, N. H. (2004) · Molecular Cancer Therapeutics · doi:10.1158/1535-7163.103.3.2 · Cited by 132
Zhang, J. D., Berntenis, N., Roth, A., & Ebeling, M. (2014) · The Pharmacogenomics Journal · doi:10.1038/tpj.2013.39 · Cited by 79
Tabach, Y., Milyavsky, M., Shats, I., Brosh, R., Zuk, O., Yitzhaky, A., Mantovani, R., Domany, E., Rotter, V., & Pilpel, Y. (2005) · Molecular Systems Biology · doi:10.1038/msb4100030 · Cited by 72
Langer, R., Specht, K., Becker, K., Ewald, P., Bekesch, M., Sarbia, M., Busch, R., Feith, M., Stein, H. J., Siewert, J.-R., et al. (2005) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-05-0042 · Cited by 70
HLA class I and II genotype of the NCI-60 cell lines
Adams, S., Robbins, F.-M., Chen, D., Wagage, D., Holbeck, S. L., Morse, H. C., Stroncek, D., & Marincola, F. M. (2005) · Journal of Translational Medicine · doi:10.1186/1479-5876-3-11 · Cited by 68
Compound Classification Using Image‐Based Cellular Phenotypes
Adams, C. L., Kutsyy, V., Coleman, D. A., Cong, G., Crompton, A. M., Elias, K. A., Oestreicher, D. R., Trautman, J. K., & Vaisberg, E. (2006) · Methods in Enzymology · doi:10.1016/s0076-6879(06)14024-0 · Cited by 51
Computational Biology and Drug Discovery: From Single-Target to Network Drugs
Ambesi-Impiombato, A., & Bernardo, D. (2006) · Current Bioinformatics · doi:10.2174/157489306775330598 · Cited by 47
(2003) · PubMed · Cited by 36
Identification of gene expression profiles predicting tumor cell response to L-alanosine
Efferth, T., Gebhart, E., Ross, D. D., & Sauerbrey, A. (2003) · Biochemical Pharmacology · doi:10.1016/s0006-2952(03)00341-1 · Cited by 29
Self-citationMultidimensional profiling in the investigation of small-molecule-induced cell death
Wolpaw, A. J., & Stockwell, B. R. (2014) · Methods in Enzymology · doi:10.1016/b978-0-12-801430-1.00011-1 · Cited by 10
Metadata
- Authors
- Scherf, U., Ross, D. T., Waltham, M., Smith, L. H., Lee, J. K., Tanabe, L., Kohn, K. W., Reinhold, W. C., Myers, T. G., Andrews, D. T., Scudiero, D. A., Eisen, M. B., Sausville, E. A., Pommier, Y., Botstein, D., Brown, P. O., & Weinstein, J. N.
- Venue
- Nature Genetics
- Published
- 2000-03
- Volume
- 24
- Issue
- 3
- Pages
- 236-244
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W2018843280
- Cited by
- 1,450
- References
- 2
- FWCI
- 43.15
- 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.
