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Segment Anything for Microscopy
Reference mapping for single-cell genomics
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
This is the code for "Bitcoin Prediction" by Siraj Raval on Youtube
Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning
scPerturb: A resource and a python/R tool for single-cell perturbation data
Repository for Nicheformer: a foundation model for single-cell and spatial omics
🏃 The go-to single-cell Foundation Model
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
SplineDist: Automated Cell Segmentation with Spline Curves
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
Cell and line magic for PGF/TikZ-to-SVG rendering in Jupyter notebooks
Jupyterlab extension to show notebook cell completion notifications
High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer
Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network
Human Protein Atlas image classification competition
Interpretable drug response prediction with graph neural networks over drugs, cell lines, and genes.