Interpretable Clustering of Single-Cell Transcriptomes - NNFC Workshop
Explore interpretable clustering techniques for single-cell transcriptomes with Jesper Madsen, enhancing understanding of genomic mechanisms and data integration.
Scaling V2F for Metabolic Disease - Part 2
Explore scaling variant-to-function approaches for metabolic disease research with insights from a leading genomics expert at the Broad Institute.
Inclusive Genomics: Exploring Genetic Variations in Neglected Populations and Sex Chromosomes
Explore genetic variations in neglected populations and sex chromosomes with Marla Mendes' insights on inclusive genomics.
gnomAD v4: Behind the Scenes
Explore the creation, processing, and quality control of gnomAD v4, a comprehensive genomic database, with insights into variant quality and intolerance analysis.
Clinical Variant and Gene Classification - MPG Primer 2023
Explore clinical variant and gene classification with expert Heidi Rehm. Gain insights into complex trait genetics, human genetic variation, and data analysis techniques for medical and population genetics research.
Sequencing Technology Landscape and Current Offerings Overview - Broad Clinical Labs
Explore the sequencing technology landscape and current offerings in clinical labs, focusing on advancements and applications in medical and population genetics.
AI in Drug Discovery: What Do We Need for Being Successful?
Explore AI's role in drug discovery with Sanofi-Aventis scientist Christoph Grebner, discussing key success factors and industry insights.
Decoding Biology with Data Abundance - Machine Learning in Drug Discovery
Explore data-driven approaches to decode biology and revolutionize drug discovery with insights from Recursion's AI and Digital Sciences expert.
Machine Learning for Discovery of Translatable Targets and Biomarkers - Keynote
Explore machine learning applications in drug discovery with Daphne Koller's keynote on translatable targets and biomarkers at the Broad Institute Symposium.
PROTPARDELLE: An All-Atom Protein Generative Model - Broad Institute Machine Learning in Drug Discovery Symposium 2023
Explore PROTPARDELLE, an all-atom protein generative model, presented by Stanford's Possu Huang at the Broad Institute's Machine Learning in Drug Discovery Symposium.
Mostly Natural Sequencing-by-Synthesis for scRNA-seq Using Ultima Sequencing - 2023 MPG Primer
Explore natural sequencing-by-synthesis for scRNA-seq using Ultima sequencing. Learn about experiment design, data quality, analysis techniques, and biological insights in single-cell genomics.
Mass-Spectrometry-Based Proteomics for Biomarker Discovery and pQTL Mapping
Explore mass spectrometry-based proteomics techniques for biomarker discovery and pQTL mapping in this workshop by Lili Niu from the University of Copenhagen.
Ladders to Cures Symposium 2023 - Advances in Rare Disease Research and Therapies
Explore cutting-edge research and developments in rare disease therapies through expert talks on genetics, drug development, biomarkers, and patient-centric approaches.
Generative AI for Modeling Single-Cell Responses
Explore generative AI applications in single-cell response modeling, covering data integration, representation learning, and multiomics analysis for biomedical insights.
Contrastive Models for Case-Control Changes in Sequencing - Models, Inference and Algorithms
Explore contrastive latent variable models for analyzing differential expression in sequencing data, enhancing case-control comparisons in transcriptomics with novel approaches to capture condition-specific variations.
GRN-Guided Simulation of Single-Cell RNA-Seq and Primer on Causal GANs
Explore GRouNdGAN for simulating single-cell RNA-seq data and learn about CausalGANs for gene regulatory network analysis and in-silico perturbation experiments.
Meaningful Signals Within Deep Learning Models for Biology - Primer and Meeting
Explore deep learning models in biology, from curating meaningful pre-training data to disentangling experimental noise, enhancing performance in biomedical imaging and high-throughput microscopy experiments.
Building a Mind for Cancer
Explore innovative approaches to understanding cancer through AI and machine learning with Trey Ideker's insightful presentation on building a computational mind for cancer research.
Foundation Models for Therapeutic Design and Treatment Prediction
Explore foundation models for therapeutic design and treatment prediction, focusing on novel insights in biomedical research and machine learning advancements.
Harmonization of Deeply Sequenced Genomes - MPG Primer 2023
Explore genome harmonization techniques for deeply sequenced data, covering quality control, structural variants, and PCA analysis using cloud computing.
Individual-level Tissue-Specific Imputed Transcriptomes in Drug Target Prioritization and Disease Risk Prediction
Explore tissue-specific transcriptomes for drug target prioritization and disease risk prediction. Learn about TWAS, co-localization, polygenic risk scores, and phenome-wide scans in genetics research.