ONERAI's repositories
SpatialGlue
SpatialGlue is a novel deep learning methods for spatial multi-omics data integration.
SpatialGlue-1
SpatialGlue is a novel deep learning methods for spatial multi-omics data integration.
deepmaps
Single-cell biological network inference using a heterogeneous graph transformer
MERFISH-mouse-comparison
Figure notebooks for "Comparative analysis of MERFISH spatial transcriptomics with bulk and single-cell RNA sequencing"
minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
prml
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
pytorch-multi-gpu-training
整理 pytorch 单机多 GPU 训练方法与原理
scbert-reusability
Reusability report of scBERT
scMoFormer
Single-Cell Multimodal Prediction via Transformer
simba
SIMBA: SIngle-cell eMBedding Along with features
SpatialGlue_tutorials
The tutorial is to show how to apply SpatialGlue to integrate spatial multi-omics data to decipher tissue heterogeneity.
TCM
Codes used in pan-T cell analysis
tGPT
Generative Pretraining from Transcriptomes
TxGNN
TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design