QuKunLab / MultiomeBenchmarkingLinks
☆50Updated 6 months ago
Alternatives and similar repositories for MultiomeBenchmarking
Users that are interested in MultiomeBenchmarking are comparing it to the libraries listed below
Sorting:
- Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data☆55Updated last year
- Matilda is a multi-task framework for learning from single-cell multimodal omics data. Matilda leverages the information from the multi-m…☆21Updated 3 months ago
- ☆18Updated 3 years ago
- ☆56Updated last year
- Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional…☆26Updated last year
- scMEGA: Single-cell Multiomic Enhancer-based Gene regulAtory network inference☆40Updated 11 months ago
- A computational method to rank and infer drug-responsive cell population towards in-silico drug perturbation using a target-perturbed gen…☆52Updated 3 months ago
- ☆59Updated last year
- ACTIONet single-cell analysis framework☆42Updated 11 months ago
- Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets☆33Updated 2 years ago
- Gene group activity utility functions for Scanpy☆87Updated 8 months ago
- CeLEry: cell location recovery in single-cell RNA sequencing☆35Updated 7 months ago
- ☆16Updated last year
- ☆30Updated last month
- Python agent-based model tool for inference, visualization and analysis of cell-cell communication from single-cell data☆33Updated last month
- Low-dimensional Projection of Single Cell Velocity☆28Updated 3 years ago
- ☆32Updated 5 months ago
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆39Updated 3 years ago
- ☆44Updated 3 years ago
- End-to-end analysis of spatial multi-omics data☆93Updated last month
- an integrative algorithm to distinguish spatially variable cell subclusters by reconstructing cells onto a pseudo space with spatial tran…☆23Updated 2 years ago
- SIMBA: SIngle-cell eMBedding Along with features☆63Updated 10 months ago
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆41Updated 3 years ago
- Additional code and analysis from the single-cell integration benchmarking project☆67Updated 2 years ago
- Reproducing result from the paper☆34Updated 4 years ago
- ☆54Updated 10 months ago
- SIMBA: SIngle-cell eMBedding Along with features☆19Updated last year
- Python package for integrating and analyzing multiple single-cell datasets (A Python version of LIGER)☆30Updated 3 months ago
- Predict RNA velocity through deep learning☆70Updated last year
- scLearn:Learning for single cell assignment☆35Updated 9 months ago