Valence Labs Courses

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

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

Amortized Sampling with Transferable Normalizing Flows

Discover how deep learning enables scalable molecular conformation sampling through Prose, a 280M parameter normalizing flow that transfers across peptide systems for efficient drug discovery.

• YouTube
• 1 hour 3 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

Stereo-cell - Spatial Enhanced-Resolution Single-Cell Sequencing with High-Density DNA Nanoball-Patterned Arrays

Discover Stereo-cell, a breakthrough single-cell sequencing platform using DNA nanoball arrays for spatial transcriptomics with enhanced resolution and multimodal integration capabilities.

• YouTube
• 1 hour 3 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

Towards Multimodal Foundation Models in Molecular Cell Biology

Explore how multimodal foundation models can revolutionize molecular cell biology by integrating diverse omics data for unprecedented cellular characterization and AI-driven insights.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

UMA - A Family of Universal Models for Atoms

Discover Meta FAIR's UMA models trained on 500M atomic structures for drug discovery, materials science, and catalysts with novel mixture of linear experts architecture.

• YouTube
• 58 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

Heimdall - A Modular Framework for Tokenization in Single-Cell Foundation Models

Discover Heimdall, a comprehensive framework for evaluating tokenization strategies in single-cell foundation models, enhancing performance across challenging transfer learning scenarios.

• YouTube
• 1 hour 15 minutes
• Self-Paced
• Free Video

PerturBench - Benchmarking Machine Learning Models for Cellular Perturbation Analysis

Discover a comprehensive framework for benchmarking ML models in cellular perturbation analysis, featuring diverse datasets, evaluation metrics, and insights into model performance.

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

GeneAgent - Self-Verification Language Agent for Gene-Set Analysis Using Domain Databases

Discover how GeneAgent reduces AI hallucinations in gene-set analysis by autonomously verifying outputs against biological databases for more accurate functional descriptions.

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

Branching Flows - Discrete, Continuous, and Manifold Flow Matching with Splits and Deletions

Explore a novel generative modeling framework that dynamically controls sequence length through stochastic branching, enabling flexible generation across discrete and continuous spaces.

• YouTube
• 1 hour 29 minutes
• Self-Paced
• Free Video