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

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**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...**

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Graph parameter classes are defined to ease the simulation of different
types of graphs by using a single interface `rgraphBAM()`

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R. Castelo

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

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