The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Machine Learning for Detecting Gene-Gene Interactions: A Review
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Cites
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
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 1×
“The key here is to identify filter strategies such as ReliefF [87] that are capable of assigning a high quality or relevance to SNPs that might be involved in a nonlinear interaction.”
BackgroundA comprehensive review of genetic association studies
Hirschhorn, J. N., Lohmueller, K., Byrne, E., & Hirschhorn, K. (2002) · Genetics in Medicine · doi:10.1097/00125817-200203000-00002 · Cited by 1,674
Modular epistasis in yeast metabolism
Segrè, D., DeLuna, A., Church, G. M., & Kishony, R. (2005) · Nature Genetics · doi:10.1038/ng1489 · Cited by 575
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
Genetics of Human Social Behavior
Ebstein, R. P., Israel, S., Chew, S. H., Zhong, S., & Knafo, A. (2010) · Neuron · doi:10.1016/j.neuron.2010.02.020 · Cited by 323
Joel, S., Eastwick, P. W., Allison, C. J., Arriaga, X. B., Baker, Z. G., Bar-Kalifa, E., Bergeron, S., Birnbaum, G. E., Brock, R. L., Brumbaugh, C. C., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1917036117 · Cited by 315
Data-driven advice for applying machine learning to bioinformatics problems
Olson, R. S., Cava, W. L., Mustahsan, Z., Varik, A., & Moore, J. H. (2018) · Biocomputing 2018 · doi:10.1142/9789813235533_0018 · Cited by 287
Self-citationOn safari to Random Jungle: a fast implementation of Random Forests for high-dimensional data
Schwarz, D. F., König, I. R., & Ziegler, A. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq257 · Cited by 269
Metadata
- Authors
- McKinney, B. A., Reif, D. M., Ritchie, M. D., & Moore, J. H.
- Venue
- Applied Bioinformatics
- Published
- 2006
- Volume
- 5
- Issue
- 2
- Pages
- 77-88
- ISSN
- 1175-5636 (ISSN-L)
- OpenAlex
- W2004159986
- Cited by
- 254
- References
- 4
- FWCI
- 5.83
- Type
- journal article
- Language
- en
- Open access
- green
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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.
