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https://github.com/bwlewis/tcor

Fast thresholded correlation mattices
https://github.com/bwlewis/tcor

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Fast thresholded correlation mattices

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# tcor
An R package for fast and memory-efficient computation of thresholded correlation matrices

A preprint of the companion note is available from http://arxiv.org/abs/1512.07246.

## Installation

The package depends on the
`irlba` (https://cran.r-project.org/web/packages/irlba/)
and `foreach` (https://cran.r-project.org/web/packages/foreach/)
packages, each available on CRAN.
You can install `tcor` using the `devtools` package
(https://cran.r-project.org/web/packages/devtools/) with:
```r
devtools::install_github("bwlewis/tcor")
```

The algorithm can optionally make use of `foreach` package "back-ends" to run
in parallel Many are available, including `doMC`, `doParallel`, and `doRedis`.
See the CRAN high performance computing task view for more info
https://cran.r-project.org/web/views/HighPerformanceComputing.html.

## Example

See the vignette https://github.com/bwlewis/tcor/blob/master/vignettes/brca.Rmd
for an example that uses tcor to compute the most correlated gene expression
vectors from TCGA RNASeq data.