scGMAI: a Gaussian mixture model for clustering single-cell RNA-seq data based on deep autoencoder
☆15Jun 7, 2021Updated 5 years ago
Alternatives and similar repositories for scGMAI
Users that are interested in scGMAI are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- scDCC: Single Cell Deep Constrained Clustering☆45Jul 10, 2024Updated 2 years ago
- single-cell graph attentional clustering☆13Feb 10, 2022Updated 4 years ago
- Single-cell RNA-seq clustering and annotation☆13Oct 26, 2020Updated 6 years ago
- Feature Selection in scRNA-seq☆11Sep 9, 2021Updated 5 years ago
- scDeepCluster for Single Cell RNA-seq data☆106Jul 10, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks☆155Jul 25, 2024Updated 2 years ago
- Pytorch implementation of scDeepCluster for Single Cell RNA-seq data☆33Jul 10, 2024Updated 2 years ago
- DUBStepR (Determining the Underlying Basis using Step-wise Regression) is a feature selection algorithm for cell type identification in s…☆12May 26, 2021Updated 5 years ago
- An algorithm used to classify the cell types from single cell rna sequence data.☆10Jan 24, 2021Updated 5 years ago
- ☆26Apr 3, 2019Updated 7 years ago
- "Topological Identification and Interpretation for Single-cell Gene Regulation Elucidation across Multiple Platforms using scMGCA" in Nat…☆19Feb 5, 2023Updated 3 years ago
- scRNA数据分析中文教程☆11Jul 29, 2019Updated 7 years ago
- ☆18Jun 6, 2022Updated 4 years ago
- Deep joint-leaning single-cell multi-omics model☆16Jun 27, 2022Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Digital Cell Sorter (DCS): single cell RNA-seq analysis toolkit. Documentation:☆24Jun 8, 2021Updated 5 years ago
- ☆11Jul 6, 2021Updated 5 years ago
- Deep soft K-means clustering with self-training for single cell RNA sequence data☆32Jul 20, 2020Updated 6 years ago
- GrandPrix☆17May 27, 2019Updated 7 years ago
- SHARP: Single-cell RNA-seq Hyper-fast and Accurate processing via ensemble Random Projection☆18Apr 26, 2021Updated 5 years ago
- SAFE (Single-cell Aggregated clustering From Ensemble): Cluster ensemble for single-cell RNA-seq data☆19Mar 27, 2021Updated 5 years ago
- The main repository for ACTIVA: realistic single-cell RNA-seq generation with automatic cell-type identification using introspective vari…☆10Jan 23, 2023Updated 3 years ago
- Marker Selection by matching manifolds and elastic net☆23Oct 22, 2024Updated 2 years ago
- a variational autoencoder method for clustering single-cell mutation data☆11Apr 17, 2024Updated 2 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- ☆15Jun 17, 2021Updated 5 years ago
- ☆19Dec 1, 2021Updated 4 years ago
- Generative adversarial networks for single-cell RNA-seq imputation☆39Jul 20, 2020Updated 6 years ago
- Python package for dimension reduction of high-dimensional biological data.☆17May 23, 2018Updated 8 years ago
- [BIB 2023] scDFC: A deep fusion clustering method for single-cell RNA-seq data☆10Nov 27, 2025Updated 11 months ago
- ☆24Nov 6, 2021Updated 4 years ago
- single-cell graph autoencoder☆25Oct 14, 2021Updated 5 years ago
- ☆15Feb 5, 2024Updated 2 years ago
- ☆12Jul 13, 2018Updated 8 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Simultaneous deep generative modeling and clustering of single cell genomic data☆33Nov 14, 2022Updated 3 years ago
- ☆36Oct 15, 2026Updated 2 weeks ago
- Clustering through Imputation and Dimensionality Reduction☆64Sep 21, 2017Updated 9 years ago
- BERMUDA (Batch Effect ReMoval Using Deep Autoencoders) is a novel transfer-learning-based method for batch correction in scRNA-seq data.☆30Dec 29, 2019Updated 6 years ago
- Collection of public scRNA-Seq datasets used by our group☆172May 4, 2021Updated 5 years ago
- "ZINB-based Graph Embedding Autoencoder for Single-cell RNA-seq Interpretations" in AAAI 2022☆28Feb 5, 2023Updated 3 years ago
- Bootstrap imputation for scRNAseq data☆12Jul 18, 2020Updated 6 years ago