The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
A mixture model approach for the analysis of microarray gene expression data
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Citations
Cites
Practical Nonparametric Statistics
Groggel, D. J. (2000) · Technometrics · doi:10.1080/00401706.2000.10486067 · Cited by 11,041
The Jackknife, the Bootstrap and Other Resampling Plans
Efron, B. (1982) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9781611970319 · Cited by 8,120
Genomic Control for Association Studies
Devlin, B., & Roeder, K. (1999) · Biometrics · doi:10.1111/j.0006-341x.1999.00997.x · Cited by 3,162 · cited 1×
“…statistical tests are conducted, one obtains a distribution of test statistics and corresponding p -values and that there is information available in this distribution that can be exploited (Thomas et al., 1985; Devlin and Roeder, 1999; Drigalenko and Elston, 1997; Parker and Rothenberg, 1988).”
BackgroundThe Jackknife: The Bootstrap and Other Resampling Plans.
Low, L. Y., & Efron, B. (1983) · Journal of the American Statistical Association · doi:10.2307/2288218 · Cited by 2,702
Gene expression profile of aging and its retardation by caloric restriction
Lee, C.-K., Klopp, R. G., Weindruch, R., & Prolla, T. A. (1999) · Science · doi:10.1126/science.285.5432.1390 · Cited by 1,473
Self-citationParametric empirical Bayes inference: theory and applications
Morris, C. N. (1983) · Journal of the American Statistical Association · doi:10.1080/01621459.1983.10477920 · Cited by 1,448
The Theory of Statistical Decision
Savage, L. J. (1951) · Journal of the American Statistical Association · doi:10.1080/01621459.1951.10500768 · Cited by 1,223
Gene-expression profile of the ageing brain in mice
Lee, C.-K., Weindruch, R., & Prolla, T. A. (2000) · Nature Genetics · doi:10.1038/77046 · Cited by 1,055
Self-citationRobust mixture modelling using the t distribution
Peel, D., & McLachlan, G. J. (2000) · Statistics and Computing · doi:10.1023/a:1008981510081 · Cited by 947
McLachlan, G. J. (1987) · Applied Statistics · doi:10.2307/2347790 · Cited by 708
Cited by
Glickman, M. E., Rao, S. R., & Schultz, M. R. (2014) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2014.03.012 · Cited by 1,542
Microarray data analysis: from disarray to consolidation and consensus
Allison, D. B., Cui, X., Page, G. P., & Sabripour, M. (2006) · Nature Reviews Genetics · doi:10.1038/nrg1749 · Cited by 1,339
Self-citationVäremo, L., Nielsen, J., & Nookaew, I. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt111 · Cited by 697
Size, power and false discovery rates
Efron, B. (2007) · The Annals of Statistics · doi:10.1214/009053606000001460 · Cited by 411
Ginos, M. A., Page, G. P., Michalowicz, B. S., Patel, K. J., Volker, S. E., Pambuccian, S. E., Ondrey, F. G., Adams, G. L., & Gaffney, P. M. (2004) · Cancer Research · doi:10.1158/0008-5472.can-03-2144 · Cited by 407
Metadata
- Authors
- Allison, D. B., Gadbury, G. L., Heo, M., Fernández, J. R., Lee, C.-K., Prolla, T. A., & Weindruch, R.
- Venue
- Computational Statistics & Data Analysis
- Publisher
- Elsevier BV
- Published
- 2002-03
- Volume
- 39
- Issue
- 1
- Pages
- 1-20
- ISSN
- 0167-9473 (ISSN-L)
- OpenAlex
- W2130530904
- Cited by
- 360
- References
- 33
- FWCI
- 7.34
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: A mixture model approach for the analysis of microarray gene expression data. https://app.cochat.ai/papers/10.1016/s0167-9473(01)00046-9
- The paper
- Allison, D. B., Gadbury, G. L., Heo, M., Fernández, J. R., Lee, C.-K., Prolla, T. A., & Weindruch, R. (2002). A mixture model approach for the analysis of microarray gene expression data. Computational Statistics & Data Analysis. https://doi.org/10.1016/s0167-9473(01)00046-9
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.
