Estimation of genetic and molecular regulatory networks from high-throughput genomics data

Vignettes

- Package overview
- README.md
- Estimate eQTL networks using qpgraph
- Reverse-engineer transcriptional regulatory networks using qpgraph
- Simulating molecular regulatory networks using qpgraph

43

**qpCliqueNumber:**Clique number**qpCov:**Calculation of the sample covariance matrix**qpGraph-class:**The qp-graph**qpgraph-package:**Estimation of genetic and molecular regulatory networks from...**qpIPF:**Iterative proportional fitting algorithm**qpNrr:**Non-rejection rate estimation**qpPCC:**Estimation of Pearson correlation coefficients**Browse all...**

Popular Man pages

The expression quantitative trait loci (eQTL) experimental cross model class serves the purpose of holding all necessary information to simulate genetical genomics data from an experimental cross.

R. Castelo

qpgraph documentation built on Nov. 17, 2017, 1:04 p.m.

What can we improve?

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.

Close