output
20102026
most citedCurrent and future directions in network biology

108 citations

Showing q-bio.MNShow all

5 papers · 1 filter

q-bio.MN2026

MERLIN-SUITE: Probabilistic modular GRN inference from multi-omics data integrating regulatory priors and transcription factor activity

Suvojit Hazra, Marina Kotvanova, Kirstan Gimse +1

Accurately reconstructing gene regulatory networks (GRNs) is essential for understanding transcriptional processes in development and disease. MERLIN-SUITE (https://github.com/Roy-…

q-bio.MN2026

scMTNI: Leveraging cellular trajectory and context to infer dynamic GRNs from single-cell multi-omics data

Suvojit Hazra, Chandrani Kumari, Sushmita Roy

Transcriptional gene regulatory networks (GRNs) depict the directed relationships between regulators and target genes, determining gene expression patterns in a cell-type-specific…

q-bio.MN2026

Modeling Dynamics, Cell Type Specificity, and Perturbations in Gene Regulatory Networks

Junha Shin, Spencer Halberg-Spencer, Yuda Liu +3

Gene regulatory networks (GRNs) define the regulatory relationships among molecules such as transcription factors, chromatin remodelers, and target genes. GRNs play a critical role…

q-bio.MN2023★ 108 cited

Current and future directions in network biology

Marinka Zitnik, Michelle M. Li, Aydin Wells +34

Network biology is an interdisciplinary field bridging computational and biological sciences that has proved pivotal in advancing the understanding of cellular functions and diseas…

q-bio.MN2011★ 24 cited

Dynamics and Processing in Finite Self-Similar Networks

Simon DeDeo, David C. Krakauer

A common feature of biological networks is the geometric property of self-similarity. Molecular regulatory networks through to circulatory systems, nervous systems, social systems…