Description Details Author(s) References Examples
Pathifier is an algorithm that infers pathway deregulation scores for each tumor sample on the basis of expression data. This score is determined, in a context-specific manner, for every particular dataset and type of cancer that is being investigated. The algorithm transforms gene-level information into pathway-level information, generating a compact and biologically relevant representation of each sample.
Package: | pathifier |
Type: | Package |
Version: | 1.0 |
Date: | 2013-03-15 |
License: | Artistic-1.0 |
Yotam Drier <drier.yotam@mgh.harvard.edu> Maintainer: Assif Yitzhaky <assif.yitzhaky@weizmann.ac.il>
Drier Y, Sheffer M, Domany E. Pathway-based personalized analysis of cancer. Proceedings of the National Academy of Sciences, 2013, vol. 110(16) pp:6388-6393. (www.pnas.org/cgi/doi/10.1073/pnas.1219651110)
See more information on : http://www.weizmann.ac.il/pathifier/
1 2 3 4 5 | data(KEGG) # Two pathways of the KEGG database
data(Sheffer) # The colorectal data of Sheffer et al.
PDS<-quantify_pathways_deregulation(sheffer$data, sheffer$allgenes,
kegg$gs, kegg$pathwaynames, sheffer$normals, attempts = 100,
logfile="sheffer.kegg.log", min_exp=sheffer$minexp, min_std=sheffer$minstd)
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