zhanglabtools / BrainAlignLinks
Code for "Whole brain alignment of spatial transcriptomics between humans and mice with BrainAlign"
☆13Updated 11 months ago
Alternatives and similar repositories for BrainAlign
Users that are interested in BrainAlign are comparing it to the libraries listed below
Sorting:
- ☆114Updated 3 months ago
- Transformer for One-Stop Interpretable Cell-type Annotation☆145Updated last year
- Additional code and analysis from the single-cell integration benchmarking project☆67Updated 2 years ago
- ☆77Updated 3 weeks ago
- ☆60Updated last year
- ☆44Updated last year
- End-to-end analysis of spatial multi-omics data☆93Updated last month
- PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).☆59Updated 3 weeks ago
- scDesign3 generates realistic in silico data for multimodal single-cell and spatial omics☆102Updated 6 months ago
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆146Updated 6 months ago
- A simulator for single cell multi-omics and spatial omics data that provides ground truth to benchmark a wide range of methods.☆61Updated 8 months ago
- Predict RNA velocity through deep learning☆70Updated last year
- single cell foundation model☆103Updated this week
- ☆53Updated last week
- ☆11Updated 3 months ago
- Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data☆55Updated last year
- SIMBA: SIngle-cell eMBedding Along with features☆63Updated 11 months ago
- ☆12Updated 5 months ago
- ☆31Updated 3 years ago
- Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space☆79Updated last week
- GeneCompass☆89Updated 3 months ago
- ☆30Updated last month
- ☆26Updated 4 months ago
- Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.☆61Updated last year
- Single-cell ATAC-seq analysis via Latent feature Extraction☆102Updated 2 years ago
- Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network☆104Updated 2 years ago
- Single-cell biological network inference using a heterogeneous graph transformer☆75Updated 6 months ago
- ☆137Updated last year
- a computational framework to identify and characterize cell niches from spatial omics data at single-cell resolution☆39Updated last month
- Compendium of available lists of ligand-receptor pairs and surface-secreted protein interactions.☆141Updated 2 years ago