Repository Index

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.

PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).

• deep-generative-model
• deep-learning
• single-cell-data-integration
• single-cell-multiomics

Python package for analysis of multiomic single cell RNA-seq and ATAC-seq.

Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications

• cell-annotation
• multiplexed-imaging
• mpif

Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.

• foundation-models
• gpt
• single-cell

High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations

Methods for Image-Based Cell Profiling

• profiling
• microscopy
• r

Deep learning model for single-cell inference of multi-omic profiles from a single input modality.

• single-cell
• scrna-seq
• scatac-seq
• deep-neural-networks

MCP server for spatial transcriptomics analysis through natural language interfaces.

• bioinformatics
• cell-communication
• deconvolution
• machine-learning

Predicting Cell Health with Morphological Profiles

• carpenter-lab
• morphological-profiling
• crispr
• cell-painting

Multigrate: multiomic data integration for single-cell genomics

CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer

• cancer
• foundation-model
• single-cell

Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network

3D shape analysis using deep learning

• cancer-biology
• cell-biology
• deep-learning
• geometric-deep-learning

A versatile single-cell cross-modality translation method via dual-aligned variational autoencoders

Single-cell fluorescence microscopy data analysis

• microscopy
• fluorescence-microscopy-imaging

Fast, deterministic cell-type deconvolution for million-bin spatial transcriptomics

• bioinformatics
• cell-type-deconvolution
• computational-biology
• deconvolution

A flexible Julia toolkit for high-dimensional cellular profiles

• julia
• morphological-analysis
• high-content-screening

scPair: Boosting single cell multimodal analysis by leveraging single cell atlases and implicit feature selection

Analysis of cell migration in Igor Pro

• igor
• imagej
• cell-migration
• tracking

Interpretable modeling of cellular responses to drug perturbations using cycle consistence learning

Interpretable drug response prediction with graph neural networks over drugs, cell lines, and genes.