sallyqus / awesome-AI4SingleCellLinks
Must-read papers on deep learning based methodology paper for single cell data analysis
☆18Updated 4 years ago
Alternatives and similar repositories for awesome-AI4SingleCell
Users that are interested in awesome-AI4SingleCell are comparing it to the libraries listed below
Sorting:
- scDesign3 generates realistic in silico data for multimodal single-cell and spatial omics☆103Updated this week
- Transformer for One-Stop Interpretable Cell-type Annotation☆145Updated last year
- Sequence-based Modeling of single-cell ATAC-seq using Convolutional Neural Networks.☆98Updated 2 weeks ago
- A modular framework for multimodal cross-cell-type transcriptional regulation models☆90Updated last month
- Single-cell ATAC-seq analysis via Latent feature Extraction☆103Updated 2 years ago
- ☆114Updated 3 months ago
- PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).☆59Updated 3 weeks ago
- Multi-omic velocity inference☆110Updated 11 months ago
- Predict RNA velocity through deep learning☆70Updated last year
- A BLAST-like toolkit for large-scale scRNA-seq data querying and annotation.☆93Updated last year
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆148Updated 7 months ago
- Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space☆79Updated 2 weeks ago
- Compendium of available lists of ligand-receptor pairs and surface-secreted protein interactions.☆141Updated 2 years ago
- single-cell Hi-C, scHi-C, Hi-C, 3D genome, nuclear organization, hypergraph☆89Updated 11 months ago
- C.Origami, a prediction and screening framework for cell type-specific 3D chromatin structure.☆79Updated last year
- Additional code and analysis from the single-cell integration benchmarking project☆67Updated 2 years ago
- ☆44Updated last year
- code to run EPInformer for gene expression prediction and gene-enhancer link prediction☆43Updated this week
- Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network☆105Updated 2 years ago
- Bias factorized, base-resolution deep learning models of chromatin accessibility (chromBPNet)☆178Updated 2 weeks ago
- ☆53Updated 2 weeks ago
- ☆46Updated last year
- ☆93Updated 4 years ago
- Awesome list of tools and methods to perform spatial transcriptomic data analysis.☆46Updated 4 years ago
- code to run sei and obtain sei and sequence class predictions☆109Updated 2 years ago
- single cell Flux Estimation Analysis (scFEA) Try the below web server!☆130Updated last year
- R package to access DoRothEA's regulons☆150Updated last year
- dandelion - A single cell BCR/TCR V(D)J-seq analysis package for 10X Chromium 5' data☆119Updated this week
- Tabula Muris Senis☆105Updated 2 years ago
- SIMBA: SIngle-cell eMBedding Along with features☆63Updated 11 months ago