AI infers tissue mechanical stress directly from cell shapes
StressNET, a graph neural network, estimates physical forces between neighboring cells directly from microscopy images without relying on pre-specified physical formulas.
Preprints
RNA language model decodes microRNA processing across 414 species
Researchers introduced miRstring, an RNA language model trained on 77,708 precursor sequences across 414 species to identify the boundaries of mature microRNAs (miRNAs), tiny RNA molecules that regulate gene expression.
Bayesian model maps cell types from sparse single-cell DNA methylation data
The Bayesian framework converts continuous methylation proportions into discrete states, factorizes the latent structure, and propagates measurement uncertainty into the final cell assignments.
AI pipeline audits biological interaction models against seven databases
University of Pittsburgh researchers developed BELL, a computational curation tool that combines rule-based retrieval from seven biological databases with large language models to verify mechanistic models.