The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility
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Citations
Cites
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
XV.—The Correlation between Relatives on the Supposition of Mendelian Inheritance.
Fisher, R. A. (1919) · Transactions of the Royal Society of Edinburgh · doi:10.1017/s0080456800012163 · Cited by 4,387
CANALIZATION OF DEVELOPMENT AND THE INHERITANCE OF ACQUIRED CHARACTERS
WADDINGTON, C. H. (1942) · Nature · doi:10.1038/150563a0 · Cited by 3,255
Theoretical and Empirical Analysis of ReliefF and RReliefF
Robnik-Šikonja, M., & Kononenko, I. (2003) · Machine Learning · doi:10.1023/a:1025667309714 · Cited by 3,025 · cited 3×
“Other algorithms and metrics such as ReliefF (reviewed by Robnik-Siknja and Kononenko, 2003) could be used to select interesting attributes.”
MethodInfluentialModular epistasis in yeast metabolism
Segrè, D., DeLuna, A., Church, G. M., & Kishony, R. (2005) · Nature Genetics · doi:10.1038/ng1489 · Cited by 575
Moore, J. H., Boczko, E. M., & Summar, M. L. (2005) · Molecular Genetics and Metabolism · doi:10.1016/j.ymgme.2004.10.006 · Cited by 32
Self-citation
Cited by
Detecting gene–gene interactions that underlie human diseases
Cordell, H. J. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2579 · Cited by 1,350
Predictive data mining in clinical medicine: Current issues and guidelines
BELLAZZI, R., & ZUPAN, B. (2008) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2006.11.006 · Cited by 823
Gene-gene interaction in regulatory T-cell function in atopy and asthma development in childhood
Bottema, R. W. B., Kerkhof, M., Reijmerink, N. E., Thijs, C., Smit, H. A., van Schayck, C. P., Brunekreef, B., van Oosterhout, A. J., Postma, D. S., & Koppelman, G. H. (2010) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2010.04.024 · Cited by 44
Metadata
- Authors
- Moore, J. H., Gilbert, J. C., Tsai, C.-T., Chiang, F.-T., Holden, T., Barney, N., & White, B. C.
- Venue
- Journal of Theoretical Biology
- Publisher
- Elsevier BV
- Published
- 2006-07
- Volume
- 241
- Issue
- 2
- Pages
- 252-261
- ISSN
- 0022-5193 (ISSN-L)
- OpenAlex
- W2076220518
- Cited by
- 608
- References
- 6
- FWCI
- 21.38
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Moore, J. H., Gilbert, J. C., Tsai, C.-T., Chiang, F.-T., Holden, T., Barney, N., & White, B. C. (2006). A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility. Journal of Theoretical Biology. https://doi.org/10.1016/j.jtbi.2005.11.036
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.
