LEAP (version 0.2)

LEAP-package: \Sexpr[results=rd,stage=build]{tools:::Rd_package_title("#1")}LEAPConstructing Gene Co-Expression Networks for Single-Cell RNA-Sequencing Data Using Pseudotime Ordering

Description

\Sexpr[results=rd,stage=build]{tools:::Rd_package_description("#1")}LEAPAdvances in sequencing technology now allow researchers to capture the expression profiles of individual cells. Several algorithms have been developed to attempt to account for these effects by determining a cell's so-called `pseudotime', or relative biological state of transition. By applying these algorithms to single-cell sequencing data, we can sort cells into their pseudotemporal ordering based on gene expression. LEAP (Lag-based Expression Association for Pseudotime-series) then applies a time-series inspired lag-based correlation analysis to reveal linearly dependent genetic associations.

Details

The DESCRIPTION file: \Sexpr[results=rd,stage=build]{tools:::Rd_package_DESCRIPTION("#1")}LEAPThis package was not yet installed at build time.

\Sexpr[results=rd,stage=build]{tools:::Rd_package_indices("#1")}LEAP Index: This package was not yet installed at build time.

~~ An overview of how to use the package, including the most important functions ~~

References

Shalek AK, Satija R., Shuga J., Trombetta J.J. et al. (2014) Single-cell RNA-seq reveals dynamic paracrine control of cellular variation. Nature, 510(7505), 363-369. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4193940/

Examples

## Not run: MAC_results = MAC_counter(data=example_data)

## Not run: MAC_perm(data=example_data, MACs_observ=MAC_example)