smaslova / AI-TACLinks
☆27Updated 2 years ago
Alternatives and similar repositories for AI-TAC
Users that are interested in AI-TAC are comparing it to the libraries listed below
Sorting:
- ACTIONet single-cell analysis framework☆44Updated last year
- ☆30Updated last year
- ☆13Updated 2 years ago
- A BLAST-like toolkit for large-scale scRNA-seq data querying and annotation.☆94Updated last year
- A repository for the design and analysis of pooled single cell RNA-seq perturbation experiments.☆97Updated 6 years ago
- Code for reproducing "Exploring genetic interaction manifolds constructed from rich single-cell phenotypes"☆65Updated 5 years ago
- Accurate and robust imputation of scRNA-seq data☆97Updated 6 years ago
- Tools for sgRNA calling in direct capture Perturb-seq data☆39Updated 2 years ago
- code to run EPInformer for gene expression prediction and gene-enhancer link prediction☆44Updated 3 months ago
- Code for reproducing the Sei manuscript results☆17Updated 3 years ago
- Imputation method for scRNA-seq based on low-rank approximation☆77Updated 2 years ago
- single-cell Hi-C, scHi-C, Hi-C, 3D genome, nuclear organization, hypergraph☆92Updated 2 months ago
- Python package for analysis of multiomic single cell RNA-seq and ATAC-seq.☆67Updated 6 months ago
- Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space☆80Updated 4 months ago
- Clonotype Neighbor Graph Analysis☆93Updated 4 months ago
- scOpen: single-cell open chromatin analysis via NMF modelling☆28Updated 2 years ago
- Nextflow pipeline for cross-species integration and assessment of single cell RNA-seq datasets☆42Updated 5 months ago
- SIMBA: SIngle-cell eMBedding Along with features☆66Updated last year
- ☆41Updated 5 years ago
- code to run sei and obtain sei and sequence class predictions☆110Updated 3 years ago
- Task-based gene regulatory network inference using single-cell or bulk gene expression data conditioned on a prior network.☆54Updated last year
- ☆69Updated last month
- An accurate and efficient deep learning method for single-cell RNA-seq data imputation☆89Updated 3 years ago
- Single-cell ATAC-seq analysis via Latent feature Extraction☆103Updated 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…☆56Updated this week
- ☆68Updated 2 years ago
- covolutional neural network based coexpression analysis☆79Updated 5 years ago
- Benchmark of GRNs using the GRETA pipeline☆30Updated this week
- ☆101Updated 2 years ago
- ☆96Updated 4 years ago