Valence Labs Courses

Integration of Variant Annotations Using Deep Set Networks Boosts Rare Variant Association Testing

Explore DeepRVAT, a neural network model that enhances rare variant association testing by learning gene impairment scores from variant annotations, improving gene discovery and genetic risk detection for human diseases.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

PepTune - De Novo Generation of Therapeutic Peptides with Multi-Objective-Guided Discrete Diffusion

Discover how PepTune uses discrete diffusion and Monte Carlo Tree Search to generate therapeutic peptides optimized for multiple properties like binding affinity, permeability, and solubility.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

Scalable Emulation of Protein Equilibrium Ensembles with Generative Deep Learning

Explore groundbreaking deep learning techniques for generating protein structure ensembles, revealing conformational changes and thermodynamic properties for drug discovery applications.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

Predicting Cellular Responses to Perturbation Across Diverse Contexts with State

Discover how State, a transformer model, predicts cellular responses to perturbations across diverse contexts using data from 100+ million cells for drug discovery applications.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

Neural Entropy - Understanding Deep Learning Through Information Theory and Diffusion Models

Explore the intersection of deep learning and information theory through diffusion models, examining how neural networks store and process information using principles from thermodynamics and optimal transport.

• YouTube
• 1 hour 40 minutes
• Self-Paced
• Free Video

A Systematic Comparison of Computational Methods for Expression Forecasting

Explore computational methods for predicting cellular gene expression changes after perturbation, comparing 11 datasets and various ML approaches to assess forecasting accuracy.

• YouTube
• 57 minutes
• Self-Paced
• Free Video

Genome Modeling and Design Across All Domains of Life with Evo 2

Explore Evo 2, a biological foundation model trained on 9.3 trillion DNA base pairs that predicts genetic variation impacts and generates genome-scale sequences with unprecedented accuracy across all life domains.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

Inverse Problems with Experiment-Guided AlphaFold

Explore a framework for building experiment-grounded protein structure generative models that infer conformational ensembles consistent with experimental data, treating AlphaFold3 as a structural prior for posterior inference.

• YouTube
• 48 minutes
• Self-Paced
• Free Video

Branched Schrödinger Bridge Matching

Explore a novel framework for modeling branched stochastic paths between distributions, enabling multi-path transitions and cellular fate predictions in AI drug discovery.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Virtual Cells - Predict, Explain, Discover

Explore AI-driven virtual cell models that predict cellular responses to treatments, accelerating drug discovery through computational simulation and biological insights.

• YouTube
• 1 hour
• Self-Paced
• Free Video

Cross-Tissue Multicellular Coordination and Its Rewiring in Cancer

Explore how diverse cell types coordinate across tissues in health and cancer through systematic analysis of multicellular ecosystems and their rewiring patterns.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

Multi-modal Diffusion Model with Dual-Cross-Attention for Multi-Omics Data Generation and Translation

Explore scDiffusion-X, a latent diffusion model using Dual-Cross-Attention to generate and translate single-cell multi-omics data for drug discovery applications.

• YouTube
• 48 minutes
• Self-Paced
• Free Video

Transformers Discover Molecular Structure Without Graph Priors

Discover how Transformers can learn molecular structure from Cartesian coordinates without graph priors, challenging GNN dominance in molecular machine learning and drug discovery.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Accelerating Biomolecular Modeling with AtomWorks and RF3

Discover AtomWorks framework and RF3 for biomolecular structure prediction, protein design, and machine learning model development in drug discovery applications.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

Decoding Cellular Plasticity through Deep Learning of Multi-Omic Gene Regulatory Networks

Explore deep learning methods for analyzing cellular plasticity in glioblastoma using multi-omic data to understand gene regulatory networks and cancer progression mechanisms.

• YouTube
• 56 minutes
• Self-Paced
• Free Video