altoslabs / perturbenchLinks
☆37Updated 3 months ago
Alternatives and similar repositories for perturbench
Users that are interested in perturbench are comparing it to the libraries listed below
Sorting:
- ACTIONet single-cell analysis framework☆42Updated 11 months ago
- ☆59Updated 11 months ago
- Decima is a Python library to train sequence models on single-cell RNA-seq data.☆44Updated 2 weeks ago
- repository containing analysis scripts and auxiliary files☆36Updated 5 years ago
- ☆47Updated last month
- Tools for sgRNA calling in direct capture Perturb-seq data☆37Updated 2 years ago
- scPRAM accurately predicts single-cell gene expression perturbation response based on attention mechanism☆15Updated 10 months ago
- ☆26Updated 3 months ago
- code to run EPInformer for gene expression prediction and gene-enhancer links prioritization☆44Updated 9 months ago
- Benchmark of GRNs using the GRETA pipeline☆27Updated last week
- ☆36Updated 3 months ago
- Code for reproducing "Exploring genetic interaction manifolds constructed from rich single-cell phenotypes"☆58Updated 5 years ago
- scooby: Modeling multi-modal genomic profiles from DNA sequence at single-cell resolution.☆30Updated 2 weeks ago
- cTPnet Package☆25Updated 3 years ago
- Knowledge-primed neural networks☆38Updated 2 years ago
- Computational Optimization of DNA Activity (CODA)☆60Updated 4 months ago
- Spatial reconstruction of dissociated single-cell data☆19Updated last year
- SIMBA: SIngle-cell eMBedding Along with features☆63Updated 10 months ago
- ☆10Updated 3 months ago
- TCRconv is a deep learning model for predicting recognition between T cell receptors and epitopes. It uses protBERT embeddings for the TC…☆25Updated 2 years ago
- Geometry-preserving random sampling☆89Updated 9 months ago
- Python package for analysis of multiomic single cell RNA-seq and ATAC-seq.☆63Updated last month
- scDesign3 generates realistic in silico data for multimodal single-cell and spatial omics☆103Updated 5 months ago
- Additional code and analysis from the single-cell integration benchmarking project☆66Updated 2 years ago
- ☆29Updated 3 weeks ago
- Comparing performance across many methodological dimensions among tools that predict RNA after TF knockdowns and overexpression.☆19Updated last week
- ☆54Updated 9 months ago
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.☆43Updated 2 years ago
- CREsted is a Python package for training sequence-based deep learning models on scATAC-seq data, for capturing enhancer code and for desi…☆44Updated last week
- ☆81Updated last year