ucscCancer/pathmark-scripts

Name: pathmark-scripts

Owner: UCSC Cancer Research

Description: null

Created: 2012-10-05 20:01:50.0

Updated: 2015-02-19 22:13:03.0

Pushed: 2015-02-19 22:13:02.0

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Language: JavaScript

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README

PathMark: Identification of Pathway Markers of Interest

Current Version

2.0

Authors

Sam Ng and Joshua M. Stuart

Requirements
Installation
Command-Line
xyPATHMARK.py [options] data_matrix phenotype_matrix pathway_file

_matrix - sample by feature data file
otype_matrix - phenotype by sample dichotomy file
way_file - PARADIGM pathway interactions file

ootstrap_size - number of bootstrap sample to be generated for robustness estimation
ull_size - number of null samples to be generated for significance estimation
ull_permute - permutation method for null model
ignature_method - differential method for computing signatures
ilter_parameters - filter threshold coefficients
iffusion_time - heat diffusion time for signature scores across the network
 apply hub filter that includes hubs with high representation of its children
andom_seed - fix random seed

lePlot.py [options] output_directory input_matrix [input_matrix ...]

ut_directory - path to directory to output plots
t_matrix - sample by feature data matrix for plots, rings created from inner to outer

ample_file - one column file of samples to plot
eature_file - one column file of features to plot
rder_parameters - feature:file[,file ...] hierarchical sort on feature and data files
enter_file - two column file of feature scores for center circle colors
olor_map - color parameters file
ile_extension - output file extension (default: png)
 output feature names for each plot
Folders
Contact

Feature requests, comments and requests for clarification should all be sent to the author at sng@soe.ucsc.edu. I will try to respond quickly to all requests, so feel free to email me!


This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.