🏃 The go-to single-cell Foundation Model
- batch-correction
- cell-biology
- celltype-annotation
- denoising
47,133 repositories indexed
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🏃 The go-to single-cell Foundation Model
LLM for Drug Editing, ICLR 2024
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
Interpretable bilinear attention network with domain adaptation improves drug-target prediction.
Data visualisation web components for the life sciences.
The repository host gives no description.
Accurate and efficient spot detection for microscopy data
Python package for image-based profiling
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
The repository host gives no description.
The repository host gives no description.
A tool for cell instance aware segmentation in densely packed 3D volumetric images
GeneCompass
Learning cell communication from spatial graphs of cells
Integrated pipeline for multiplexed image analysis
CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework
Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
Structural variant detection and association testing
Rails frontend to The Genome Institute's drug gene interaction database.
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
Toolbox for the analysis of smFISH images.
TypeDB Bio: Biomedical Knowledge Graph
BulkFormer: A large-scale foundation model for human bulk transcriptomes