xseq (0.2.1)

0 users

Assessing Functional Impact on Gene Expression of Mutations in Cancer.


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.

Maintainer: Jiarui Ding
Author(s): Jiarui Ding, Sohrab Shah

License: GPL (>= 2)

Uses: e1071, gptk, impute, RColorBrewer, sfsmisc, knitr

Released about 4 years ago.

1 previous version



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of xseq yet. Want to be the first? Write one now.

Related packages:(20 best matches, based on common tags.)

Search for xseq on google, google scholar, r-help, r-devel.

Visit xseq on R Graphical Manual.