limma powers differential expression analyses for RNA-sequencing and microarray studies

@inproceedings{Ritchie2015limmaPD,
  title={limma powers differential expression analyses for RNA-sequencing and microarray studies},
  author={Matthew E. Ritchie and Belinda Phipson and D Ying Wu and Yifang Hu and Charity W. Law and Wei Shi and Gordon K Smyth},
  booktitle={Nucleic acids research},
  year={2015}
}
limma is an R/Bioconductor software package that provides an integrated solution for analysing data from gene expression experiments. It contains rich features for handling complex experimental designs and for information borrowing to overcome the problem of small sample sizes. Over the past decade, limma has been a popular choice for gene discovery through differential expression analyses of microarray and high-throughput PCR data. The package contains particularly strong facilities for… CONTINUE READING
Highly Influential
This paper has highly influenced 138 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Recent Discussions
This paper has been referenced on Twitter 109 times over the past 90 days. VIEW TWEETS
2,004 Citations
83 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 2,004 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 83 references

featureCounts: an efficient general-purpose read summarization program

  • Y. Liao, G. K. Smyth, W. Shi
  • Bioinformatics
  • 2014
1 Excerpt

Similar Papers

Loading similar papers…