The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Detecting Novel Associations in Large Data Sets
Open accessAbstract
A statistical method reveals relationships among variables in complex data sets.
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Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
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
Elements of Information Theory
Cover, T. M., & Thomas, J. A. (2005) · doi:10.1002/047174882x · Cited by 13,791
The control of the false discovery rate in multiple testing under dependency
Benjamini, Y., & Yekutieli, D. (2001) · The Annals of Statistics · doi:10.1214/aos/1013699998 · Cited by 10,490
Influence of life stress on depression: moderation by a polymorphism in the 5-HTT gene
Caspi, A., Sugden, K., Moffitt, T. E., Taylor, A., Craig, I. W., Harrington, H., McClay, J., Mill, J., Martin, J., Braithwaite, A., et al. (2003) · Science · doi:10.1126/science.1083968 · Cited by 8,120
Evolution of mammals and their gut microbes
Ley, R. E., Hamady, M., Lozupone, C., Turnbaugh, P. J., Ramey, R. R., Bircher, J. S., Schlegel, M. L., Tucker, T. A., Schrenzel, M. D., Knight, R., et al. (2008) · Science · doi:10.1126/science.1155725 · Cited by 3,747
Self-citationThe Effect of Diet on the Human Gut Microbiome: A Metagenomic Analysis in Humanized Gnotobiotic Mice
Turnbaugh, P. J., Ridaura, V. K., Faith, J. J., Rey, F. E., Knight, R., & Gordon, J. I. (2009) · Science Translational Medicine · doi:10.1126/scitranslmed.3000322 · Cited by 3,058 · cited 2×
“For our fourth analysis, we applied MINE to a dataset that has not yet been exhaustively analyzed: a set of bacterial abundance levels in the human gut microbiota (29).”
Self-citationAlgeo, T. J., & Lyons, T. W. (2006) · Paleoceanography · doi:10.1029/2004pa001112 · Cited by 1,194
How does multiple testing correction work?
Noble, W. S. (2009) · Nature Biotechnology · doi:10.1038/nbt1209-1135 · Cited by 772
Cited by
The human microbiome: at the interface of health and disease
Cho, I., & Blaser, M. J. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3182 · Cited by 3,449
Host Remodeling of the Gut Microbiome and Metabolic Changes during Pregnancy
Koren, O., Goodrich, J. K., Cullender, T. C., Spor, A., Laitinen, K., Kling Bäckhed, H., Gonzalez, A., Werner, J. J., Angenent, L. T., Knight, R., et al. (2012) · Cell · doi:10.1016/j.cell.2012.07.008 · Cited by 2,165
Fungal microbiota dysbiosis in IBD
Sokol, H., Leducq, V., Aschard, H., Pham, H.-P., Jegou, S., Landman, C., Cohen, D., Liguori, G., Bourrier, A., Nion-Larmurier, I., et al. (2017) · Gut · doi:10.1136/gutjnl-2015-310746 · Cited by 1,314
Banerjee, S., Kirkby, C. A., Schmutter, D., Bissett, A., Kirkegaard, J. A., & Richardson, A. E. (2016) · Soil Biology and Biochemistry · doi:10.1016/j.soilbio.2016.03.017 · Cited by 1,050
Xenobiotics shape the physiology and gene expression of the active human gut microbiome
Maurice, C. F., Haiser, H. J., & Turnbaugh, P. J. (2013) · Cell · doi:10.1016/j.cell.2012.10.052 · Cited by 811
Metadata
- Authors
- Reshef, D. N., Reshef, Y. A., Finucane, H. K., Grossman, S. R., McVean, G., Turnbaugh, P. J., Lander, E. S., Mitzenmacher, M., & Sabeti, P. C.
- Venue
- Science
- Published
- 2011-12-16
- Volume
- 334
- Issue
- 6062
- Pages
- 1518-1524
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2165700458
- Cited by
- 3,339
- References
- 9
- FWCI
- 298.70
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Detecting Novel Associations in Large Data Sets. https://app.cochat.ai/papers/10.1126/science.1205438
- The paper
- Reshef, D. N., Reshef, Y. A., Finucane, H. K., Grossman, S. R., McVean, G., Turnbaugh, P. J., Lander, E. S., Mitzenmacher, M., & Sabeti, P. C. (2011). Detecting Novel Associations in Large Data Sets. Science. https://doi.org/10.1126/science.1205438
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.