Methods for Disease Analysis Using Multiomic Data
Explore advanced methods for analyzing diseases using multiomic data, focusing on clustering algorithms, cancer subtyping, and driver gene prioritization.
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.
Single-cell Trajectory Analysis with V-Mapper
Explore V-Mapper, an innovative method for analyzing single-cell gene expression data. Learn how it extracts topology and flow of cell differentiation, enhancing trajectory inference in high-dimensional spaces.
Investigating Rapid Nuclear Mechanotransduction by Mapping Genome-wide Changes in Transcription
Explore groundbreaking research on nuclear mechanotransduction, examining how mechanical forces trigger rapid genomic changes and gene activation through advanced sequencing techniques and cellular observations.
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.
Measuring Gene Expression in T Cells for Cancer Immunotherapy - Lecture 2
Discover how gene expression measurement techniques in cells contribute to understanding and enhancing T-cell based cancer immunotherapy approaches through advanced sequencing technologies.