Researchers developed DAG-VAERL, a deep generative architecture combining graph attention networks and reinforcement learning to reconstruct causal gene regulatory networks ...
A new study reveals that chromatin accessibility changes precede gene expression during the osteogenic differentiation of porcine synovium-derived mesenchymal stem ...
A deep-learning analysis of over one million glioblastoma cells reveals that cancer cell plasticity is governed by a predictable regulatory ...
Researchers have discovered that disrupting diverse autism risk genes triggers convergent molecular changes in human neural progenitors, identifying transcription factor ...
A review examines how intrinsic developmental constraints and reduced evolvability may explain the evolutionary conservation observed during the mid-embryonic phylotypic ...
A computational investigation reveals that five core transcription factors, led by SOX2, centrally regulate the developmental pathways underlying mammal domestication.
A comprehensive review analyzes how large-scale transcription factor screens and single-cell multi-omics are revealing the quantitative rules, kinetics, and mechanistic ...
Two studies show glioblastoma cells follow predictable paths between states, and reprogramming a single regulator improved survival in mouse models.
A new algorithmic framework finds small sets of transcription factors that jointly cover disease-related gene networks with near-optimal efficiency on ...
A new review in Plant Cell Reports synthesizes how single-cell and spatial omics technologies reveal distinct cellular strategies plants use ...
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