The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Supervised harvesting of expression trees
Open accessAbstract
BACKGROUND: We propose a new method for supervised learning from gene expression data. We call it 'tree harvesting'. This technique starts with a hierarchical clustering of genes, then models the outcome variable as a sum of the average expression profiles of chosen clusters and their products. It can be applied to many different kinds of outcome measures such as censored survival times, or a response falling in two or more classes (for example, cancer classes). The method can discover genes that have strong effects on their own, and genes that interact with other genes. RESULTS: We illustrate the method on data from a lymphoma study, and on a dataset containing samples from eight different cancers. It identified some potentially interesting gene clusters. In simulation studies we found that the procedure may require a large number of experimental samples to successfully discover interactions. CONCLUSIONS: Tree harvesting is a potentially useful tool for exploration of gene expression data and identification of interesting clusters of genes worthy of further investigation.
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Friedman, J., Hastie, T., & Tibshirani, R. (2000) · The Annals of Statistics · doi:10.1214/aos/1016218223 · Cited by 6,884
Self-citation'Gene shaving' as a method for identifying distinct sets of genes with similar expression patterns
Hastie, T., Tibshirani, R., Eisen, M. B., Alizadeh, A., Levy, R., Staudt, L., Chan, W. C., Botstein, D., & Brown, P. (2000) · Genome Biology · doi:10.1186/gb-2000-1-2-research0003 · Cited by 547
Self-citation
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Zou, H., & Hastie, T. (2005) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.1467-9868.2005.00503.x · Cited by 20,957
Self-citationModel-Based Clustering, Discriminant Analysis, and Density Estimation
Fraley, C., & Raftery, A. E. (2002) · Journal of the American Statistical Association · doi:10.1198/016214502760047131 · Cited by 4,257
Cluster analysis for gene expression data: a survey
Jiang, D., Tang, C., & Zhang, A. (2004) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2004.68 · Cited by 1,235
Prediction by Supervised Principal Components
Bair, E., Hastie, T., Paul, D., & Tibshirani, R. (2006) · Journal of the American Statistical Association · doi:10.1198/016214505000000628 · Cited by 817
Self-citationBondell, H. D., & Reich, B. J. (2008) · Biometrics · doi:10.1111/j.1541-0420.2007.00843.x · Cited by 465
Metadata
- Authors
- Hastie, T., Tibshirani, R., Botstein, D., & Brown, P.
- Venue
- Genome Biology
- Published
- 2001-01-10
- Volume
- 2
- Issue
- 1
- Pages
- RESEARCH0003-RESEARCH0003
- ISSN
- 1465-6906 (ISSN-L)
- 1474-760X
- OpenAlex
- W1608932033
- Cited by
- 216
- References
- 2
- FWCI
- 6.84
- Type
- journal article
- Language
- en
- Open access
- gold
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