The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Sparse principal component analysis via regularized low rank matrix approximation
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Citations
Cites
Regression shrinkage and selection via the lasso
Tibshirani, R. (1996) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1996.tb02080.x · Cited by 51,482
Sparse Principal Component Analysis
Zou, H., Hastie, T., & Tibshirani, R. (2006) · Journal of Computational and Graphical Statistics · doi:10.1198/106186006x113430 · Cited by 3,152
'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 · cited 2×
“(Hastie et al., 2000) and meta-genes (West, 2003).”
MethodAdjustment of systematic microarray data biases
Benito, M., Parker, J., Du, Q., Wu, J., Xiang, D., Perou, C. M., & Marron, J. S. (2004) · Bioinformatics · doi:10.1093/bioinformatics/btg385 · Cited by 426
Cited by
Greenacre, M., Groenen, P. J. F., Hastie, T., D’Enza, A. I., Markos, A., & Tuzhilina, E. (2022) · Nature Reviews Methods Primers · doi:10.1038/s43586-022-00184-w · Cited by 1,773
Witten, D. M., Tibshirani, R., & Hastie, T. (2009) · Biostatistics · doi:10.1093/biostatistics/kxp008 · Cited by 1,535
Large Covariance Estimation by Thresholding Principal Orthogonal Complements
Fan, J., Liao, Y., & Mincheva, M. (2013) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/rssb.12016 · Cited by 909
Plankton networks driving carbon export in the oligotrophic ocean
Guidi, L., Chaffron, S., Bittner, L., Eveillard, D., Larhlimi, A., Roux, S., Darzi, Y., Audic, S., Berline, L., Brum, J. R., et al. (2016) · Nature · doi:10.1038/nature16942 · Cited by 870
Generalized power method for sparse principal component analysis
Journée, M., Nesterov, Y. E., Richtárik, P., & Sepulchre, R. J. (2008) · arXiv (Cornell University) · doi:10.48550/arxiv.0811.4724 · Cited by 473
Metadata
- Authors
- Shen, H., & Huang, J. Z.
- Venue
- Journal of Multivariate Analysis
- Publisher
- Elsevier BV
- Published
- 2008-07
- Volume
- 99
- Issue
- 6
- Pages
- 1015-1034
- ISSN
- 0047-259X (ISSN-L)
- OpenAlex
- W2044809283
- Cited by
- 691
- References
- 4
- FWCI
- 8.71
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Shen, H., & Huang, J. Z. (2008). Sparse principal component analysis via regularized low rank matrix approximation. Journal of Multivariate Analysis. https://doi.org/10.1016/j.jmva.2007.06.007
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.
