NPA: an R package for computing network perturbation amplitudes using gene expression data and two-layer networks
Abstract Background High-throughput gene expression technologies provide complex datasets reflecting mechanisms perturbed in an experiment, typically in a treatment versus control design. Analysis of these information-rich data can be guided based on a priori knowledge, such as networks of related p...
Main Authors: | Florian Martin, Sylvain Gubian, Marja Talikka, Julia Hoeng, Manuel C. Peitsch |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2019-09-01
|
Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-019-3016-x |
Similar Items
-
Systems biology approach highlights mechanistic differences between Crohn’s disease and ulcerative colitis
by: Pedro A. Ruiz Castro, et al.
Published: (2021-06-01) -
Supporting evidence-based analysis for modified risk tobacco products through a toxicology data-sharing infrastructure [version 2; referees: 2 approved]
by: Stéphanie Boué, et al.
Published: (2017-09-01) -
Causal Biological Network Model for Inflammasome Signaling Applied for Interpreting Transcriptomic Changes in Various Inflammatory States
by: Hasmik Yepiskoposyan, et al.
Published: (2022-01-01) -
The Network of Protected Areas (NPA) as an Instrument to Implement Cross-Border Public Services
by: Maria Coronato, et al.
Published: (2019-09-01) -
GRaNIE and GRaNPA: inference and evaluation of enhancer‐mediated gene regulatory networks
by: Aryan Kamal, et al.
Published: (2023-04-01)