dcanr-package {dcanr}R Documentation

dcanr: Differential co-expression/association network analysis

Description

Methods and an evaluation framework for the inference of differential co-expression/association networks.

Details

There are three categories of functions available

  1. Differential co-expression methods (DC) - These functions are used to perform a differential co-expression analysis on experimental data with binary conditions.

  2. Functions to evaluate DC methods - These functions are used to evaluate methods implemented in the package and novel methods on simulated data. Expression data is simulated for 2 conditions, wild-type and knock-down of given genes.

  3. By-products of implementations

Differential co-expression methods (DC)

Functions to evaluate DC methods

Accessors of simulated data:

Functions for evaluating inference methods

By-products of implementations

These are functions used in the package but have further uses in general:

Author(s)

Maintainer: Dharmesh D. Bhuva bhuva.d@wehi.edu.au (0000-0002-6398-9157)

See Also

Useful links:


[Package dcanr version 1.10.0 Index]