tGPLVM: A Nonparametric, Generative Model for Manifold Learning with scRNA-seq experimental data
☆17Jun 4, 2019Updated 6 years ago
Alternatives and similar repositories for tGPLVM
Users that are interested in tGPLVM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Reference data for cell-type assignment with clustifyr☆13Nov 3, 2022Updated 3 years ago
- GrandPrix☆16May 27, 2019Updated 6 years ago
- An interpretable deep learning model for cancer classification using high-dimensional omics data☆18Jan 24, 2022Updated 4 years ago
- Exon-Intron Split Analysis (EISA) in R☆17Nov 3, 2025Updated 5 months ago
- countsimQC - Compare characteristic features of count data sets☆30Feb 7, 2026Updated 2 months ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- K-means clustering for large single-cell datasets☆12Feb 10, 2026Updated 2 months ago
- Comparison of dimensionality reduction methods☆30Mar 24, 2020Updated 6 years ago
- Bioinformatics pipeline for single-cell 3' UTR isoform quantification☆29Jan 29, 2026Updated 2 months ago
- MEM mapper prototype☆13Nov 28, 2020Updated 5 years ago
- A study to compare methods for clustering of scRNA-seq data☆47Jul 19, 2024Updated last year
- An online companion to the OSCA manuscript demonstrating Bioconductor resources and workflows for single-cell RNA-seq analysis.☆37Mar 15, 2023Updated 3 years ago
- netNMF-sc: A network regularization algorithm for dimensionality reduction and imputation of single-cell expression data☆23Apr 19, 2021Updated 4 years ago
- ☆12Dec 1, 2021Updated 4 years ago
- ☆11Jan 7, 2020Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Visualize cancer genomes with FAIR single-cell RNA-seq data☆13Jan 5, 2023Updated 3 years ago
- Examples and code for optical pooled screens☆10Dec 8, 2022Updated 3 years ago
- A quantitative framework for evaluating data structure preservation by dimensionality reduction techniques☆16Jun 1, 2021Updated 4 years ago
- PEDLA: predicting enhancers with deep learning-based algorithmic framework☆16Jan 6, 2016Updated 10 years ago
- R package for integrating and comparing multiple single cell genomic datasets☆11Dec 27, 2020Updated 5 years ago
- ☆14Jan 16, 2019Updated 7 years ago
- XL-mHG: A Semiparametric Test for Enrichment in Ranked Lists.☆13Jan 19, 2023Updated 3 years ago
- a simulator of long read sequencing in pacbio and oxford nanopore☆15Oct 13, 2016Updated 9 years ago
- Probabilistic single-cell pseudotime with Edward+Tensorflow☆12Oct 5, 2017Updated 8 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆15Feb 5, 2024Updated 2 years ago
- Dimensionality reduction and batch integration methods for single cell data☆16Feb 9, 2023Updated 3 years ago
- Marker gene profile estimation method used in NeuroExpresso manuscript☆14Jul 11, 2019Updated 6 years ago
- supporting code for the multinomial single cell RNA-Seq paper☆53Jan 6, 2021Updated 5 years ago
- Repository for Fall 2019 incarnation of Bayesian Statistics at Carleton College.☆13Mar 16, 2021Updated 5 years ago
- ENHANCE: Accurate denoising of single-cell RNA-Seq data (Python implementation)☆14Jun 5, 2019Updated 6 years ago
- ☆38Mar 30, 2026Updated 2 weeks ago
- Common Factor Integration & Transfer learning (cFIT) for single cell RNA-seq data☆11Jul 6, 2021Updated 4 years ago
- Effector and Perturbation Estimation Engine (EPEE) conducts differential analysis of transcription factor activity from gene expression d…☆16Oct 3, 2019Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Single sample network reconstruction in R☆24Apr 6, 2020Updated 6 years ago
- multi-resolution clustering of omics data☆14Apr 9, 2025Updated last year
- Clone of the Bioconductor repository for the zinbwave package, see https://bioconductor.org/packages/zinbwave☆45Mar 13, 2024Updated 2 years ago
- ☆10Feb 3, 2022Updated 4 years ago
- K-nearest neighbor smoothing for high-throughput single-cell RNA-Seq data☆61Aug 30, 2022Updated 3 years ago
- ☆23Sep 17, 2025Updated 6 months ago
- Implementation of gene-level rare coding variant association tests targeting allelic series: cases where increasingly deleterious mutatio…☆14Oct 22, 2025Updated 5 months ago