87 dependents
| Package | Description | Downloads/month |
|---|---|---|
| Models to visualize and forecast crop conditions and yields | 142K | |
| Benchmarking analysis of data integration tools | 18K | |
| exprmat: Routines for expression matrices | 15K | |
| A python library for multi omics included bulk, single cell and spatial RNA-seq ... | 14K | |
| SpaMV: An interpretable spatial multi-omics data integration and dimension reduc... | 8K | |
| Single-cell perturbation analysis | 7K | |
| rapids-singlecell: GPU-accelerated framework for scRNA analysis | 7K | |
| A framework for state-of-the-art pre-trained bio foundation models on genomics a... | 7K | |
| A tool for analyzing trascriptomes of millions of single cells. | 5K | |
| Python package used in the MSBA program the Rady School of Management @ UCSD | 5K | |
| Large-scale generative pretrain of single cell using transformer. | 4K | |
| Electronic Health Record Analysis with Python. | 3K | |
| a scalable python suite for tree inference and advanced pseudotime analysis from... | 2K | |
| a dataloader to work with large single cell datasets from lamindb | 2K | |
| single cell RNA profiling analysis of imaging-based spatial transcriptomics data | 2K | |
| rapids-singlecell: GPU-accelerated framework for scRNA analysis | 2K | |
| Package introducing the InSituPy framework to analyze single-cell spatial transc... | 2K | |
| Cell-cell communication using MultiChat | 2K | |
| python library for single-cell loop analysis | 2K | |
| Consensus prediction of cell type labels with popV | 2K | |
| STACCI for STCase | 2K | |
| rapids-singlecell: GPU-accelerated framework for scRNA analysis | 1K | |
| single cell foundation model for Gene network inference and more | 1K | |
| cz-benchmarks is a package for standardized evaluation and comparison of machine... | 1K | |
| PIANO: Probabilistic Inference Autoencoder Networks for multi-Omics | 984 | |
| REVISE is a Python toolkit for reconstruct and analyse spatial transcriptomics (... | 962 | |
| Vector representations of gene co-expression in single cell RNAseq. | 961 | |
| Integrating GWAS and spatial transcriptomics for spatially resolved mapping of c... | 914 | |
| Python package for spatial transcriptomics data analysis | 885 | |
| Distributed single-cell data analysis. | 828 | |
| Graph-based Contrastive Learning enable Fast Single-Cell Embedding | 804 | |
| Celline - A comprehensive toolkit for single-cell RNA sequencing data analysis | 734 | |
| CONCORD: Contrastive Learning for Cross-domain Reconciliation and Discovery | 730 | |
| Spatial Deconvolution method with Platform Effect Removal | 688 | |
| Python version of epiAneufinder | 656 | |
| Python Shiny app for visualizing OMPL benchmark data | 571 | |
| Tools for single cell RNA sequencing pipelines | 499 | |
| Compute gene trajectories | 481 | |
| scPRINT-2 is a Large Cell Model for Gene Network Inference, Denoising and more f... | 463 | |
| Querying functional and structural niches on spatial transcriptomics data | 458 | |
| STEP, an acronym for Spatial Transcriptomics Embedding Procedure, is a deep lear... | 447 | |
| Semi-paired single-cell multimodal integration with Champollion | 430 | |
| STpipe is designed to analyze spatial transcriptomic data. | 416 | |
| Panpipes - multimodal single cell pipelines | 396 | |
| Atlas-level data integration in multi-condition single-cell genomics | 395 | |
| stClinic for dissecting clinically relevant niches by integrating spatial multi-... | 385 | |
| COAT: COVID-19 Statistical Analytics | 364 | |
| DECIPHER for learning high-fidelity disentangled embeddings from spatial omics d... | 356 | |
| Cell identification in high-resolution Spatial Transcriptomics | 349 | |
| KAILINss - TOGGLE(KAILIN): Single Cell Fate Tracing tools | 333 |
