Deconvolution of spatial transcriptomics at single-cell resolution
☆23Mar 25, 2026Updated 7 months ago
Alternatives and similar repositories for Redeconve
Users that are interested in Redeconve are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Cell type-specific SVG detection☆10Jan 28, 2026Updated 9 months ago
- Pathway-Level Single-Cell Functional Profiling of Individual Patient Samples☆11Aug 6, 2025Updated last year
- R and MATLAB scripts for MAGICAL☆11Jun 26, 2024Updated 2 years ago
- CCCvelo: Decoding dynamic cell-cell communication-driven cell state transitions in spatial transcriptomics☆13Sep 14, 2026Updated last month
- Hierarchical annotation of immune cells n scRNA-Seq data based on ssGSEA algorithm.☆12May 31, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Spatial Transcriptome Image and Expression integration enables single cell level spatial data analysis☆14Sep 7, 2024Updated 2 years ago
- cell type deconvolution for multi-condition bulk RNA-seq data☆37Feb 28, 2022Updated 4 years ago
- EnrichMap: Spatially-informed enrichment analysis for functional interpretation of spatial transcriptomics.☆17Oct 7, 2026Updated 3 weeks ago
- Multi-slice Spatial Transcriptome Domain Analysis.☆12Dec 13, 2024Updated last year
- The R package scCODE, a platform for data-specific DE gene detection for scRNA-seq data☆15Nov 9, 2023Updated 2 years ago
- Neighborhood Non-Negative Matrix Factorization☆11Sep 24, 2026Updated last month
- scTM: A package for topic modelling in transcriptomics data☆28May 1, 2024Updated 2 years ago
- Implementation of MaSigPro for scRNA-Seq Data☆20Updated this week
- Study of Multiple Sclerosis(MS) using paried snRNA-seq and Visium transcriptmics datasets.☆11Dec 11, 2024Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- SIDISH: Semi-supervised Iterative Deep Learning for Identifying Single-cell High-risk Populations☆26Jul 30, 2026Updated 2 months ago
- A High Effect Marker Gene Search Tool for Single-cell RNA-seq Analysis☆34Sep 14, 2024Updated 2 years ago
- Unsupervised Inference of Developmental Directions for Single Cells☆26Jan 12, 2024Updated 2 years ago
- Single Cell Oriented Reconstruction of PANDA-based Individually Optimized Networks☆28Oct 15, 2026Updated 2 weeks ago
- ☆13Jul 26, 2026Updated 3 months ago
- ☆18Dec 19, 2025Updated 10 months ago
- Pan-Cancer Single Cell Classifier☆86May 30, 2024Updated 2 years ago
- R tools for analysis and visualization of single-cell subclustering data☆19Aug 28, 2026Updated 2 months ago
- ☆15Jan 24, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- CellNeighborEX: Deciphering Neighbor-Dependent Gene Expression from Spatial Transcriptomics Data☆15Mar 13, 2026Updated 7 months ago
- scType goes spatial: ScType enables fast and accurate cell type identification from spatial transcriptomics data☆12Jul 11, 2024Updated 2 years ago
- R implementation of integration metrics for single-cell data☆14Sep 23, 2026Updated last month
- ☆20Feb 23, 2022Updated 4 years ago
- ☆15Jul 21, 2025Updated last year
- R package for scMultiMap, a statistical method for cell-type-specific mapping of enhancer-gene pairs with single-cell multimodal data☆10Jun 12, 2025Updated last year
- Fast and Scalable Single Cell Differential Expression Analysis using Mixed-effects Models☆14Apr 8, 2026Updated 6 months ago
- A computational framework☆20Jul 23, 2026Updated 3 months ago
- ☆17Apr 15, 2025Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆37Jan 23, 2024Updated 2 years ago
- Probability Model of Accessible Chromatin of Single cells☆11Aug 14, 2026Updated 2 months ago
- Correlation-Based Feature Selection for Single-Cell RNA Sequencing Data☆23Jul 19, 2022Updated 4 years ago
- Integrate Analysis and Visualization for Bioinformatic Enrichment Analyzer☆82Dec 16, 2023Updated 2 years ago
- Network analyses of single cell-based digital twins for personalized treatment of inflammatory disease☆17Mar 23, 2024Updated 2 years ago
- 🐯 tigeR: Tumor Immunotherapy Gene Expression Data Analysis R package☆53Jan 21, 2026Updated 9 months ago
- scPair: Boosting single cell multimodal analysis by leveraging single cell atlases and implicit feature selection☆13Sep 8, 2025Updated last year