Spectral Network Quantitative Trait Loci (snQTL) Analysis
Overview
A spectral framework to map quantitative trait loci (QTLs) affecting joint differential networks of gene co-Expression. Test the equivalence among multiple biological networks via spectral statistics. See reference Hu, J., Weber, J. N., Fuess, L. E., Steinel, N. C., Bolnick, D. I., & Wang, M. (2025) doi:10.1371/journal.pcbi.1012953.
Install
Health
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespace in Imports field not imported from: ‘MASS’ All declared Imports should be used.
- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 24
- Examples that run
- 100%10 run in a plain check
- Exported functions with examples
- 47%
- Documented parameters
- 100%
- Return-value docs
- 88%
- Help pages citing references
- 46%
Downloads
Dependencies
Installing snQTL adds 4 packages (3 with compiled code, 3.6 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppEigen 1.7 MB, RSpectra 125 KB.
Code & Tests
People & History
- RR 4.6.0 released · 2026-04-24
- 0.2Latest2025-04-29 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-04-29
- Total releases
- 1 / 1 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.5.0
- Download size
- 24 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("snQTL")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.