Statistical tools and R software for cancer driver probabilities

Giovanni Parmigiani, Simina Boca, Jie Ding, Lorenzo Trippa

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This chapter provides a description and illustration of CancerMutationAnalysis and Cancer MutationMCMC, two open source R packages specifically designed for the analysis of somatic mutations in cancer genome studies, at both the gene and gene-set levels.

Original languageEnglish (US)
Title of host publicationMethods in Molecular Biology
Pages113-134
Number of pages22
Volume1101
DOIs
StatePublished - 2014
Externally publishedYes

Publication series

NameMethods in Molecular Biology
Volume1101
ISSN (Print)10643745

Fingerprint

Software
Genes
Neoplasms
Genome
Mutation

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

Cite this

Parmigiani, G., Boca, S., Ding, J., & Trippa, L. (2014). Statistical tools and R software for cancer driver probabilities. In Methods in Molecular Biology (Vol. 1101, pp. 113-134). (Methods in Molecular Biology; Vol. 1101). https://doi.org/10.1007/978-1-62703-721-1-7

Statistical tools and R software for cancer driver probabilities. / Parmigiani, Giovanni; Boca, Simina; Ding, Jie; Trippa, Lorenzo.

Methods in Molecular Biology. Vol. 1101 2014. p. 113-134 (Methods in Molecular Biology; Vol. 1101).

Research output: Chapter in Book/Report/Conference proceedingChapter

Parmigiani, G, Boca, S, Ding, J & Trippa, L 2014, Statistical tools and R software for cancer driver probabilities. in Methods in Molecular Biology. vol. 1101, Methods in Molecular Biology, vol. 1101, pp. 113-134. https://doi.org/10.1007/978-1-62703-721-1-7
Parmigiani G, Boca S, Ding J, Trippa L. Statistical tools and R software for cancer driver probabilities. In Methods in Molecular Biology. Vol. 1101. 2014. p. 113-134. (Methods in Molecular Biology). https://doi.org/10.1007/978-1-62703-721-1-7
Parmigiani, Giovanni ; Boca, Simina ; Ding, Jie ; Trippa, Lorenzo. / Statistical tools and R software for cancer driver probabilities. Methods in Molecular Biology. Vol. 1101 2014. pp. 113-134 (Methods in Molecular Biology).
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