Package: xseq
Title: Assessing Functional Impact on Gene Expression of Mutations in
        Cancer
Version: 0.2.1
Date: 2015-08-25
Author: Jiarui Ding, Sohrab Shah
Maintainer: Jiarui Ding <jiaruid@cs.ubc.ca>
Depends: R (>= 3.1.0)
Imports: e1071 (>= 1.6-4), gptk (>= 1.08), impute (>= 1.38.1),
        preprocessCore (>= 1.26.1), RColorBrewer (>= 1.1-2), sfsmisc
        (>= 1.0-27)
Suggests: knitr
Description: A hierarchical Bayesian approach to assess functional impact of mutations on gene expression in cancer. Given a patient-gene matrix encoding the presence/absence of a mutation, a patient-gene expression matrix encoding continuous value expression data, and a graph structure encoding whether two genes are known to be functionally related, xseq outputs: a) the probability that a recurrently mutated gene g influences gene expression across the population of patients; 
  and b) the probability that an individual mutation in gene g in an individual patient m influences expression within that patient. 
License: GPL (>= 2)
LazyLoad: ture
Packaged: 2015-09-10 19:21:43 UTC; jding
VignetteBuilder: knitr
LazyData: TRUE
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-09-11 08:04:31
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