get_filepaths


  Adjacency matrix A obtained after <code><a rd-options="" href="/link/first_GBM_step?package=RGBM&version=1.0-4" data-mini-rdoc="RGBM::first_GBM_step">first_GBM_step</a></code> + <code><a rd-options="" href="/link/null_model_refinement_step?package=RGBM&version=1.0-4" data-mini-rdoc="RGBM::null_model_refinement_step">null_model_refinement_step</a></code>.


A_prev


  The id of the experiment being conducted. It takes natural numbers like 1,2,3 etc. By default it&#39;s 1.


experimentid


  Location where the Adjacency_Matrix and Images folder will be created.


outputpath


  String arguement representing a label for the experiment i.e. in case of DREAM3 challenge sample_type=&quot;DREAM3&quot;.


sample_type

This function generates a set of filepaths which are used to keep the adjacency matrix A obtained after the <code><a rd-options="" href="/link/first_GBM_step?package=RGBM&version=1.0-4" data-mini-rdoc="RGBM::first_GBM_step">first_GBM_step</a></code> + <code><a rd-options="" href="/link/null_model_refinement_step?package=RGBM&version=1.0-4" data-mini-rdoc="RGBM::null_model_refinement_step">null_model_refinement_step</a></code>. It also generates a path where an image of the variable importance curves for several target genes can be kept.

Provides an implementation of Regularized LS-TreeBoost & LAD-TreeBoost algorithm for Regulatory Network inference from any type of expression data (Microarray/RNA-seq etc).

Raghvendra Mall

RGBM

LS-TreeBoost and LAD-TreeBoost for Gene Regulatory Network
Reconstruction

get_filepaths function


  Adjacency matrix A obtained after <code><a rd-options='' href='first_GBM_step'>first_GBM_step</a></code> + <code><a rd-options='' href='null_model_refinement_step'>null_model_refinement_step</a></code>.


This function generates a set of filepaths which are used to keep the adjacency matrix A obtained after the <code><a rd-options='' href='first_GBM_step'>first_GBM_step</a></code> + <code><a rd-options='' href='null_model_refinement_step'>null_model_refinement_step</a></code>. It also generates a path where an image of the variable importance curves for several target genes can be kept.

get_filepaths:

Description

Usage

Arguments

Value