§01
The Work
Keywords
Cell Dynamics
Diseases
Machine Learning
Omics Data
§02
Capabilities
7
TarPmiR: a new approach for microRNA target site prediction
Digital
iDREM: interactive Dynamic Regulatory Events Miner
Digital
TBSP: Trajectory Inference Based on SNP information
Digital
SCDIFF: reconstruct cell differentiation trajectories and underlying regulatory networks from scRNA-seq RNA-seq data
Digital
scSemiProfiler: Advancing Large-scale Single-cell Studies through Semi-profiling with Deep Generative Models and Active Learning
Digital
scCross: a deep generative model for unifying single-cell multi-omics with seamless integration, cross-modal generation, and in silico exploration
Digital
MATES: a deep learning-based model for locus-specific quantification of transposable elements in single cell
Digital
Ding Lab
Explore shared research infrastructure
Research infrastructure in Montreal
Core facilities at McGill University