3 papers
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…