Copy Number Alterations in Slide-seq Data - MPG Primer 2023
Explore spatial copy number alteration detection in Slide-seq-like spatial transcriptomics data. Learn basic genetics principles related to human populations and disease.
Spatial and Single Cell Diversity of Cells and Humans
Explore spatial and single-cell diversity in humans, examining how our surroundings influence cellular and individual variations through cutting-edge genomic research.
Foundation Application to Link Spatial Transcriptomics to Clinical Images - Research Day
Explore a foundation application linking spatial transcriptomics to clinical images in cardiovascular research, enhancing understanding of molecular mechanisms in heart disease.
AI and Machine Learning in Single Cell Genomics - Day 2
Explore cutting-edge single-cell genomics research, featuring expert talks on spatial transcriptomics, multi-omics, and bioinformatics from leading institutions in Atlanta and across America.
AWSOM24 Conference - AI and Machine Learning in Single Cell Genomics
Explore cutting-edge single-cell genomics research with expert talks on bioinformatics, experimental applications, and translational studies in this comprehensive workshop from leading institutions.
A Spatially-Resolved Transcriptional Atlas of the Murine Dorsal Pontine Tegmentum
Explore a groundbreaking transcriptional atlas of the murine dorsal pontine tegmentum using snRNA-seq and MERFISH, with interactive visualization for real-time data analysis and insights.
Practical Considerations and Best Practices for Single Cell and Spatial Transcriptomics
Explore best practices for single cell and spatial transcriptomics, uncovering complex biological systems with high-resolution approaches. Gain insights from an expert in genomics and earn PACE credits.
Maps, Molecules and Malignancies
Explore the intersection of geography, molecular biology, and cancer research to uncover innovative approaches in understanding and treating malignancies.
Leveraging Advancements in Genomics to Prevent Gastric Cancer
Explore genomic advancements in gastric cancer prevention, focusing on integrative cellular genomics, spatial transcriptomics, and gene mapping techniques for metaplasia and dysplasia.
Fully Automated Workflows for High-Plex Multi-omic Profiling with GeoMx Digital Spatial Profiler
Explore automated workflows for high-plex multi-omic profiling using GeoMx® Digital Spatial Profiler and BOND RX/RXm Research Stainer, enhancing throughput and reproducibility in translational research.
Visualizing In Situ Single-Cell Multi-Omic Gene Expression from FFPE Tissue with MERSCOPE
Explore MERSCOPE's advanced capabilities for visualizing single-cell gene expression in FFPE tissue, including protein co-detection and enhanced sample processing for deeper biological insights.
Illuminating Biology with Spatially Resolved, Single-cell Transcriptomics
Explore spatially resolved, single-cell transcriptomics to understand tissue organization and cellular heterogeneity in biological systems, presented by Vizgen co-founder Jiang He.
Measuring Gene Expression in Tissues for Autoimmune Disease Detection - Lecture 2
Dive into advanced techniques for measuring gene expression in tissues, focusing on spatial transcriptomics and its application in inflammatory bowel disease diagnosis and cancer detection.
Computer Vision to Phenotype Human Diseases Across Physical and Molecular Scales
Innovative computer vision algorithms for disease phenotyping across scales, from video-based heart function assessment to spatial transcriptomics and immune cell dynamics, with focus on robust and human-compatible AI.
Spatial Modeling of Single-Cell Data Using Deep Learning
Explore deep learning approaches for spatial modeling of single-cell data, focusing on Hi-C reads imputation and transcriptomic data prediction through graph-based methodologies.
Alignment, Integration, and Modeling of Spatial Transcriptomics Data
Explore alignment, integration, and modeling techniques for spatial transcriptomics data, focusing on innovative approaches to analyze gene expression patterns in tissue samples.
Models and Methods for Spatial Transcriptomics - CGSI 2023
Explore models and methods for spatial transcriptomics, focusing on alignment, integration, and modeling of gene expression variation in spatially resolved data.