☆15Jul 8, 2022Updated 3 years ago
Alternatives and similar repositories for multicpa
Users that are interested in multicpa are comparing it to the libraries listed below
Sorting:
- ☆46Jun 16, 2025Updated 8 months ago
- Template repository for creating novel models with scvi-tools☆20Jan 18, 2023Updated 3 years ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell lev…☆184Sep 7, 2023Updated 2 years ago
- Code and results from TotalSeqC antibody titration and pipeline benchmarking for CITE-seq experiments☆10Mar 13, 2021Updated 4 years ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆135Aug 14, 2024Updated last year
- Test genes for Spatial Variation☆15Dec 20, 2024Updated last year
- ☆56Nov 1, 2024Updated last year
- Genotype-Neighborhood Associations: A tool for identifying genetic variant associations to the abundance of cell states in single-cell d…☆16Oct 5, 2024Updated last year
- Supervised Training of Conditional Monge Maps☆19Oct 30, 2023Updated 2 years ago
- CellDrift: temporal perturbation effects for single cell data☆13Dec 3, 2022Updated 3 years ago
- Spatial reconstruction of dissociated single-cell data☆19Jan 12, 2024Updated 2 years ago
- ☆81Apr 26, 2022Updated 3 years ago
- Code and example of the D-SPIN framework☆24Jan 12, 2026Updated last month
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆62Jan 12, 2026Updated last month
- Pipeline for assessing the tractability of potential targets (starting from Gene IDs)☆29Feb 9, 2025Updated last year
- ☆26Aug 15, 2023Updated 2 years ago
- ☆22Jan 6, 2026Updated last month
- ☆23Jun 5, 2021Updated 4 years ago
- Contextual AI models for single-cell protein biology☆97Feb 14, 2025Updated last year
- Reproducibility notebooks for scPoli☆23May 5, 2023Updated 2 years ago
- CellNavi is a deep learning framework designed to predict genes driving cellular transitions.☆45Mar 4, 2025Updated 11 months ago
- Normalize CITEseq Data☆68Nov 9, 2025Updated 3 months ago
- Conditional out-of-distribution prediction☆62Aug 2, 2024Updated last year
- Analysis of imbalanced data and its impacts in a scRNA-seq integration setting☆31Mar 7, 2025Updated 11 months ago
- ☆62Jul 13, 2023Updated 2 years ago
- An R package designed to demultiplex cell hashing data☆31Feb 10, 2026Updated 2 weeks ago
- A single-cell analysis toolkit to jointly analyze samples from distinct conditions☆34Apr 2, 2025Updated 11 months ago
- Supervised Adversarial Alignment of Single-Cell RNA-seq Data☆31Feb 6, 2020Updated 6 years ago
- GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations☆334Feb 1, 2025Updated last year
- Distributed single-cell data analysis.☆38Feb 10, 2026Updated 2 weeks ago
- Git Repository for CPSC 230☆17Nov 17, 2022Updated 3 years ago
- Nuclear fraction QC metric to detect empty droplets and damaged cells in scRNA-seq data☆41Nov 18, 2021Updated 4 years ago
- Tools for sgRNA calling in direct capture Perturb-seq data☆41Jun 18, 2023Updated 2 years ago
- ☆46Jan 28, 2026Updated last month
- Single cell perturbation prediction☆335Dec 5, 2024Updated last year
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆169Feb 25, 2025Updated last year
- Collation of metadata examples and notes for the project☆11Jan 30, 2026Updated last month
- https://otexts.com/fpp3/☆17Apr 13, 2021Updated 4 years ago
- Identification of viral RdRPs in single-cell RNA sequencing data☆13Jul 23, 2025Updated 7 months ago