jiang-q19 / scPRAMLinks
scPRAM accurately predicts single-cell gene expression perturbation response based on attention mechanism
☆18Updated last year
Alternatives and similar repositories for scPRAM
Users that are interested in scPRAM are comparing it to the libraries listed below
Sorting:
- ☆62Updated last year
- Code and example of the D-SPIN framework☆24Updated last week
- ☆11Updated 2 years ago
- ☆17Updated 8 months ago
- Unsupervised cell functional annotation for single-cell RNA-Seq☆22Updated 3 years ago
- ☆12Updated 2 years ago
- ☆16Updated 7 months ago
- ☆17Updated last year
- cTPnet Package☆27Updated 3 years ago
- ☆51Updated 10 months ago
- repository containing analysis scripts and auxiliary files☆36Updated 5 years ago
- ACTIONet single-cell analysis framework☆44Updated last year
- ☆19Updated 4 years ago
- CellDrift: temporal perturbation effects for single cell data☆13Updated 3 years ago
- ☆30Updated last year
- A single-cell analysis toolkit to jointly analyze samples from distinct conditions☆34Updated 9 months ago
- ☆27Updated 7 months ago
- TCRconv is a deep learning model for predicting recognition between T cell receptors and epitopes. It uses protBERT embeddings for the TC…☆26Updated 3 years ago
- ☆31Updated 5 months ago
- SIMBA: SIngle-cell eMBedding Along with features☆20Updated last week
- Python agent-based model tool for inference, visualization and analysis of cell-cell communication from single-cell data☆35Updated last month
- ☆70Updated last week
- This repository contains codes used for the human fetal limb cell atlas.☆17Updated 11 months ago
- Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.☆33Updated 5 months ago
- Learning motif contributions to cell transitions using sequence features and graphs.☆28Updated last year
- ☆60Updated last year
- pytorch dataloaders for single-cell perturbation data☆40Updated last month
- SIMBA: SIngle-cell eMBedding Along with features☆66Updated last year
- A Python implementation of the LEMUR algorithm for analyzing multi-condition single-cell RNA-seq data.☆27Updated last year
- Molecular interactions inference from single-cell multi-omics data☆30Updated this week