Informeasure: an R/bioconductor package for quantifying nonlinear dependence between variables in biological networks from an information theory perspective
Abstract Background Using information measures to infer biological regulatory networks can capture nonlinear relationships between variables. However, it is computationally challenging, and there is a lack of convenient tools. Results We introduce Informeasure, an R package designed to quantify nonl...
Saved in:
| Main Authors: | Chu Pan, Yanlin Chen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2024-12-01
|
| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12859-024-05996-z |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Scifer: An R/Bioconductor package for large-scale integration of Sanger sequencing and flow cytometry data of index-sorted single cells
by: Rodrigo Arcoverde Cerveira, et al.
Published: (2024-12-01) -
scQTLtools: An R/Bioconductor Package for Comprehensive Identification and Visualization of Single-Cell eQTLs
by: Xiaofeng Wu, et al.
Published: (2025-06-01) -
TLIC: An R package for the LIC for T distribution regression analysis
by: Guofu Jing, et al.
Published: (2025-05-01) -
Bioregionalization analyses with the bioregion R package
by: Pierre Denelle, et al.
Published: (2025-03-01) -
TFM: An R package for truncated factor model
by: Beibei Wu, et al.
Published: (2025-09-01)