SuperBianC / scMulanLinks
Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
☆61Updated last year
Alternatives and similar repositories for scMulan
Users that are interested in scMulan are comparing it to the libraries listed below
Sorting:
- Transformer for One-Stop Interpretable Cell-type Annotation☆144Updated last year
- Code for evaluating single cell foundation models scBERT and scGPT☆46Updated last year
- single cell foundation model☆100Updated this week
- ☆73Updated this week
- ☆135Updated last year
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆140Updated 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.☆60Updated 7 months ago
- ☆50Updated 5 months ago
- Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.☆72Updated 2 months ago
- A modular framework for multimodal cross-cell-type transcriptional regulation models☆87Updated 2 weeks ago
- GeneCompass☆86Updated 2 months ago
- Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data☆55Updated last year
- A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models☆69Updated last year
- PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).☆59Updated this week
- Repository for Nicheformer: a foundation model for single-cell and spatial omics☆95Updated 5 months ago
- ☆59Updated 11 months ago
- ☆36Updated last week
- ☆51Updated last month
- End-to-end analysis of spatial multi-omics data☆90Updated 3 weeks ago
- ☆22Updated this week
- Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network☆103Updated 2 years ago
- scDesign3 generates realistic in silico data for multimodal single-cell and spatial omics☆103Updated 5 months ago
- Predict RNA velocity through deep learning☆70Updated last year
- ☆18Updated 3 years ago
- Sequence-based Modeling of single-cell ATAC-seq using Convolutional Neural Networks.☆98Updated 7 months ago
- Must-read papers on deep learning based methodology paper for single cell data analysis☆18Updated 4 years ago
- ☆53Updated 8 months ago
- Utilizing single-cell omics from patients tumor to predict response and resistance.☆71Updated 2 years ago
- Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space☆79Updated 2 months ago
- ☆113Updated 3 months ago