Valence Labs Courses

scPRINT - Pre-training on 50 Million Cells for Robust Gene Network Predictions

Discover how scPRINT, a large cell model pre-trained on 50M+ cells, revolutionizes gene network inference while offering powerful capabilities in denoising, batch correction, and cell prediction.

• YouTube
• 1 hour 12 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

Foundation Models for Biological Data Modalities - Advances in Genomic and Protein Sequence Analysis

Explore cutting-edge foundation models in biological sequence analysis, covering genomic language models, multimodal conversational agents, and transfer learning between DNA, RNA, and protein data.

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

Beyond Sequence - Impact of Geometric Context for RNA Property Prediction

Explore how geometric context enhances RNA property prediction through advanced deep learning models, improving accuracy and efficiency in drug discovery and biological research.

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

Fine-tuning Flow and Diffusion Generative Models

Explore reward fine-tuning for dynamical generative models through stochastic optimal control, featuring a novel Adjoint Matching algorithm for improved consistency and realism.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo

Explore advanced probabilistic inference techniques for language models using Twisted Sequential Monte Carlo, enhancing LLM capabilities and safety measures.

• YouTube
• 1 hour 22 minutes
• Self-Paced
• Free Video

Geometric Deep Learning Framework for De Novo Genome Assembly

Explore a novel geometric deep learning framework for de novo genome assembly, enhancing path identification in complex assembly graphs for improved genomic sequence reconstruction.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

An Open MetaGenomic Corpus for Mixed-Modality Genomic Language Modeling

Explore the Open MetaGenomic corpus for genomic language modeling, featuring 3.1T base pairs and 3.3B protein coding sequences. Learn about mixed-modality approaches and their impact on AI for drug discovery.

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

Tokenized and Continuous Embedding Compressions of Protein Sequence and Structure

Explore protein ML representations, focusing on joint sequence-structure modeling. Learn about CHEAP embeddings and HPCT architecture for compact, flexible protein representations.

• YouTube
• 1 hour 27 minutes
• Self-Paced
• Free Video

Discrete Flow Matching for High-Dimensional Discrete Data Generation

Explore Discrete Flow Matching for generating high-dimensional discrete data. Learn about probability paths, sampling techniques, and improved generative perplexity in AI applications.

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

Phenomics in Drug Discovery: Microscopy and Machine Learning - Day 4

Explore phenomics in drug discovery through microscopy and machine learning techniques with expert Anne Carpenter.

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

Binding Affinity Prediction with Machine Learning-Based Docking - Lab 2

Explore ML-based docking techniques for predicting binding affinity in drug discovery, featuring insights from experts Stephan Thaler and Cristian Gabellini.

• YouTube
• 1 hour 10 minutes
• Self-Paced
• Free Video

Binding Affinity Prediction with ML-Based Docking - Lab 2

Explore ML-based docking for binding affinity prediction in drug discovery, featuring insights from experts Stephan Thaler and Cristian Gabellini.

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

Protein Folding and Design - Day 5

Explore protein folding and design techniques with Alex Tong, delving into advanced machine learning applications for drug discovery and structural biology.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Target Deconvolution Explanation - Lab 4

Explore target deconvolution techniques in drug discovery through hands-on lab exercises led by experts Ali Denton and Kristina Ulicna.

• YouTube
• 1 hour 31 minutes
• Self-Paced
• Free Video