jsxlei / SCALE
Single-cell ATAC-seq analysis via Latent feature Extraction
☆102Updated last year
Alternatives and similar repositories for SCALE:
Users that are interested in SCALE are comparing it to the libraries listed below
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.☆41Updated last year
- Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space☆76Updated 3 weeks ago
- Benchmarking computational single cell ATAC-seq methods☆182Updated 4 years ago
- A BLAST-like toolkit for large-scale scRNA-seq data querying and annotation.☆91Updated 8 months ago
- Additional code and analysis from the single-cell integration benchmarking project☆60Updated 2 years ago
- Compendium of available lists of ligand-receptor pairs and surface-secreted protein interactions.☆129Updated 2 years ago
- Sequence-based Modeling of single-cell ATAC-seq using Convolutional Neural Networks.☆97Updated 3 months ago
- ☆59Updated last year
- Predict RNA velocity through deep learning☆68Updated last year
- Multi-omic velocity inference☆110Updated 5 months ago
- ☆100Updated 3 months ago
- cisTopic: Probabilistic modelling of cis-regulatory topics from single cell epigenomics data☆138Updated last year
- ☆127Updated last year
- Episcanpy: Epigenomics Single Cell Analysis in Python☆143Updated 4 months ago
- SingleCellNet: classify single cells across species and platforms☆137Updated last year
- Single-Cell Clustering Assessment Framework☆100Updated last year
- R package to access DoRothEA's regulons☆144Updated last year
- single cell Flux Estimation Analysis (scFEA) Try the below web server!☆119Updated last year
- CytoSPACE: Optimal mapping of scRNA-seq data to spatial transcriptomics data☆124Updated last month
- ☆90Updated 4 years ago
- Deep Embedding for Single-cell Clustering☆84Updated last year
- An actionable database of publicly available single-cell RNA-seq data☆41Updated 6 years ago
- ☆116Updated 3 years ago
- SEACells algorithm for Inference of transcriptional and epigenomic cellular states from single-cell genomics data☆158Updated 3 weeks ago
- Batch balanced KNN☆157Updated last year
- Must-read papers on deep learning based methodology paper for single cell data analysis☆18Updated 4 years ago
- Scanpy use cases.☆85Updated 4 years ago
- A benchmark of batch-effect correction methods for single-cell RNA sequencing data☆74Updated 3 years ago
- Python package for analysis of multiomic single cell RNA-seq and ATAC-seq.☆61Updated 11 months ago
- Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network☆103Updated last year