The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
limma: Linear Models for Microarray Data
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“This approach accounts for both the within and between group variation when testing for differences between groups.”
In the citing paper
“Next, filtered read counts from all groups were normalized together by the trimmed mean of the M-values normalization method (TMM) to reduce the likelihood of unequal variances between groups [101].”
In the citing paper
“The limma package is a core component of Bioconductor, an R-based open-source software development project in statistical genomics (1,2).”
From limma powers differential expression analyses for RNA-sequencing and microarray studies (2015) · cites this paper as [2]
Citations
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
Smyth, G. K. (2004) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1027 · Cited by 11,829
Self-citationHuber, W., von Heydebreck, A., Sültmann, H., Poustka, A., & Vingron, M. (2002) · Bioinformatics · doi:10.1093/bioinformatics/18.suppl_1.s96 · Cited by 2,440
Identifying differentially expressed genes using false discovery rate controlling procedures
Reiner, A., Yekutieli, D., & Benjamini, Y. (2003) · Bioinformatics · doi:10.1093/bioinformatics/btf877 · Cited by 1,765
Use of within-array replicate spots for assessing differential expression in microarray experiments
Smyth, G. K., Michaud, J., & Scott, H. S. (2005) · Computer applications in the biosciences · doi:10.1093/bioinformatics/bti270 · Cited by 1,406
Self-citationAnalysis of Messy Data, Volume I: Designed Experiments
Schmee, J., Milliken, G. A., & Johnson, D. E. (1985) · Technometrics · doi:10.2307/1270212 · Cited by 922
Statistical Issues in cDNA Microarray Data Analysis
Smyth, G. K., Yang, J. Y. H., & Speed, T. P. (2003) · Humana Press eBooks · doi:10.1385/1-59259-364-x:111 · Cited by 471
Self-citationParameter estimation for the calibration and variance stabilization of microarray data
Huber, W. K., von Heydebreck, A., Sueltmann, H., Poustka, A., & Vingron, M. (2003) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1008 · Cited by 185
Design and analysis of comparative microarray experiments
Speed, T. P. (2003) · doi:10.1201/9780203011232-9 · Cited by 67
Cited by
Sorted by citations
limma powers differential expression analyses for RNA-sequencing and microarray studies
Ritchie, M. E., Phipson, B., Wu, D., Hu, Y., Law, C. W., Shi, W., & Smyth, G. K. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv007 · Cited by 40,458
Self-citationDifferential expression analysis for sequence count data
Anders, S., & Huber, W. (2010) · Genome Biology · doi:10.1186/gb-2010-11-10-r106 · Cited by 15,581
Predicting effective microRNA target sites in mammalian mRNAs
Agarwal, V., Bell, G. W., Nam, J.-W., & Bartel, D. P. (2015) · eLife · doi:10.7554/elife.05005 · Cited by 7,318
Gene ontology analysis for RNA-seq: accounting for selection bias
Young, M. D., Wakefield, M. J., Smyth, G. K., & Oshlack, A. (2010) · Genome Biology · doi:10.1186/gb-2010-11-2-r14 · Cited by 7,107
Self-citationScenic: single-cell regulatory network inference and clustering.
Aibar, S., González-Blas, C. B., Moerman, T., Huynh-Thu, V. A., Imrichova, H., Hulselmans, G., Rambow, F., Marine, J.-C., Geurts, P., Aerts, J., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4463 · Cited by 6,520
Metadata
- Authors
- Smyth, G. K.
- Corresponding author
- Smyth, G. K.
- ORCID
- Smyth, G. K.
- Venue
- Statistics for Biology and Health
- Publisher
- Springer-Verlag
- Published
- 2005-12-29
- Pages
- 397-420
- OpenAlex
- W1546952499
- Cited by
- 5,796
- References
- 9
- Citations by year
- 2026: 95 · 2025: 115 · 2024: 177 · 2023: 212 · 2022: 258 · 2021: 316 · 2020: 329 · 2019: 270 · 2018: 266 · 2017: 356 · 2016: 387 · 2015: 559 · 2014: 529 · 2013: 433 · 2012: 365
- FWCI
- 195.35
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- limma, differential gene expression, microarray data, linear models, empirical Bayes, factorial design, time-course experiments, biological replication
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