D-SPIN: A computational framework for modeling gene regulatory networks from single-cell perturbation data

Genome reorganization and its functional impact during breast cancer progression

Cancer progression involves extensive alterations in epigenetic and gene expression programs, but the accompanying changes in higher-order g

TopoMetry systematically learns and evaluates the latent geometry of single-cell data

Reconstructing and investigating the geometry underlying data is a fundamental task in single-cell analysis, yet no unified framework exists

<![CDATA[Molecular Response Monitoring and Treatment Optimization]]>

chemAI

Steering Generative Models: From Mathematics to Biomolecular Design Kirill Neklyudov Université de Montréal Mila - Quebec AI Institute

chemAI

Steering Generative Models: From Mathematics to Biomolecular Design Kirill Neklyudov Université de Montréal Mila - Quebec AI Institute

Arrayed single-gene perturbations identify drivers of human anterior neural tube closure

Genetic studies of human embryonic morphogenesis are constrained by ethical and practical challenges, restricting insights into developmenta

Dynestyx: A Probabilistic Programming Library for State-Space Models and Dynamical Systems

State-space models (SSMs) are the standard formalism for Bayesian treatment of dynamical systems, with natural applications in statistics, s