BCTI: a Bayesian network-based method for revealing critical transitions in complex biological systems

The proposed method enables effective detection of critical transitions and reveals dynamic regulatory mechanisms in complex biological systems, demonstrating strong potential for applications in systems biology, precision medicine, and the exploration of key molecular regulation driving disease progression and development.

Authors

Institutions

Publication Details

Journal
PeerJ
Published
2026-02-13
DOI
https://doi.org/10.7717/peerj.20860
Primary Topic
Gene Regulatory Network Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

BCTI: a Bayesian network-based method for revealing critical transitions in complex biological systems

Hao Peng, Hui Tang, Renhao Hong, Nan Yang et al.
PeerJ
Gene Regulatory Network Analysis
article

BCTI: a Bayesian network-based method for revealing critical transitions in complex biological systems

Hao Peng, Hui Tang, Renhao Hong, Nan Yang, Yuyan Tong, Rui Liu, Pei Chen
article en

Abstract

The proposed method enables effective detection of critical transitions and reveals dynamic regulatory mechanisms in complex biological systems, demonstrating strong potential for applications in systems biology, precision medicine, and the exploration of key molecular regulation driving disease progression and development.

PeerJVol. 14
Foshan University (CN), South China University of Technology (CN)
Openalex Percentile: Top 56%
Gene Regulatory Network Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.