How to cite the Bioconductor package gage
gage is a popular Bioconductor package that is available at https://bioconductor.org/packages/gage. By citing R packages in your paper you lay the grounds for others to be able to reproduce your analysis and secondly you are acknowledging the time and work people have spent creating the package.
APA citation
Formatted according to the APA Publication Manual 7th edition. Simply copy it to the References page as is.
The minimal requirement is to cite the R package in text along with the version number. Additionally, you can include the reference list entry the authors of the gage package have suggested.
Example of an in-text citation
Analysis of the data was done using the gage package (v2.40.1; Luo et al., 2009).
Reference list entry
Luo, Weijun, Friedman, Michael, Shedden, Kerby, Hankenson, Kurt, Woolf, & Peter. (2009). GAGE: generally applicable gene set enrichment for pathway analysis. In BMC Bioinformatics (Vol. 10, p. 161).
Vancouver citation
Formatted according to Vancouver style. Simply copy it to the references section as is.
Example of an in-text citation
Analysis of the data was done using the gage package v2.40.1 (1).
Reference list entry
1.Luo, Weijun, Friedman, Michael, Shedden, Kerby, et al. GAGE: generally applicable gene set enrichment for pathway analysis. Vol. 10, BMC Bioinformatics. 2009. p. 161.
BibTeX
Reference entry in BibTeX format. Simply copy it to your favorite citation manager.
@MISC{Luo2009-dv, title = "{GAGE}: generally applicable gene set enrichment for pathway analysis", author = "{Luo} and {Weijun} and {Friedman} and {Michael} and {Shedden} and {Kerby} and {Hankenson} and {Kurt} and {Woolf} and {Peter}", journal = "BMC Bioinformatics", volume = 10, pages = "161", year = 2009 }
RIS
Reference entry in RIS format. Simply copy it to your favorite citation manager.
TY - MISC AU - Luo AU - Weijun AU - Friedman AU - Michael AU - Shedden AU - Kerby AU - Hankenson AU - Kurt AU - Woolf AU - Peter TI - GAGE: generally applicable gene set enrichment for pathway analysis T2 - BMC Bioinformatics VL - 10 SP - 161 PY - 2009 DA - 2009 ER -
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