laolintou / scPEFTLinks
☆11Updated last year
Alternatives and similar repositories for scPEFT
Users that are interested in scPEFT are comparing it to the libraries listed below
Sorting:
- ☆11Updated 2 years ago
- Chromatin interaction aware gene regulatory modeling with graph attention networks☆28Updated 2 years ago
- A toolkit for optimal workflow recommendation for proteomics data differential expression analysis☆19Updated last year
- ☆25Updated 5 months ago
- ☆17Updated last year
- ☆18Updated last year
- ☆10Updated last year
- Molecular interactions inference from single-cell multi-omics data☆30Updated 3 weeks ago
- single-cell Hi-C, scHi-C, Hi-C, 3D genome, nuclear organization, genome subcompartment☆21Updated last year
- A comprehensive tool to infer TF-centred, spatial gene regulatory networks for the spatially resolved transcriptomic data.☆19Updated 9 months ago
- ☆30Updated 8 months ago
- ☆27Updated 8 months ago
- model-based understanding of single-cell CRISPR screening☆26Updated last year
- Generation of disentangled microenvironment-induced and intrinsic gene expression vectors from spatial transcriptomics data☆24Updated last week
- ☆10Updated last month
- Weighted Nearest Neighbors Analysis implemented in Python (pyWNN)☆20Updated 4 years ago
- scooby: Modeling multi-modal genomic profiles from DNA sequence at single-cell resolution.☆54Updated 3 months ago
- ☆21Updated 2 months ago
- Calibrated clustering with artificial variables to avoid over-clustering in single-cell RNA-sequencing☆18Updated 2 months ago
- Pipeline for generating reference and perturbed sequences for input into predictive models.☆11Updated last year
- Example of run CytoSig and reproduce prediction results on bulk and single-cell cohorts☆14Updated 2 years ago
- ☆36Updated 3 years ago
- ☆13Updated last year
- ☆15Updated 2 years ago
- A database of T-cell receptor sequences☆11Updated 6 months ago
- ☆41Updated 7 months ago
- scPRAM accurately predicts single-cell gene expression perturbation response based on attention mechanism☆18Updated last year
- Supporting data files and code for the publication by Shilts et al.☆31Updated 3 years ago
- Python implementation of Gene Trajectory☆30Updated last year
- GIANT (Gene-based data Integration and ANalysis Technique) is a method for large-scale joint analyses of atlas-level single cell data.☆14Updated 2 years ago