eiriniar / CellCnnLinks
Representation Learning for detection of phenotype-associated cell subsets
☆66Updated 4 years ago
Alternatives and similar repositories for CellCnn
Users that are interested in CellCnn are comparing it to the libraries listed below
Sorting:
- VorteX Clustering Environment - Java graphical tool for single-cell analysis, clustering and visualization. Latest release:☆34Updated 2 years ago
- ☆56Updated 5 years ago
- Single-cell exploratory data analysis for RNA-Seq☆40Updated 4 years ago
- Single-cell Hierarchical Poisson Factorization☆73Updated 3 years ago
- ☆100Updated 10 months ago
- Multi-omics studies are available here☆52Updated 3 years ago
- Using self-organizing maps for visualization and interpretation of cytometry data☆65Updated last year
- Python utilities for building integrated views of TCGA data.☆32Updated 7 years ago
- Subpopulation detection in high-dimensional single-cell data☆137Updated 4 years ago
- astir | Automated cell identity from single-cell multiplexed imaging and proteomics 🖥🔬✨☆54Updated 2 months ago
- scRNAseq integration with triplet neural networks☆41Updated 2 years ago
- Moana: Robust cell type classification of single-cell RNA-Seq data☆24Updated 6 years ago
- Variational autoencoder for single cell RNA-seq datasets☆44Updated 8 years ago
- easy access to benchmark datasets☆50Updated 7 years ago
- ☆19Updated 4 years ago
- Image processing software for CODEX: driftcompensation, deconvolution, uploading and segmentation☆49Updated 3 years ago
- Subpopulation detection in high-dimensional single-cell data☆70Updated 4 years ago
- Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit☆49Updated 2 years ago
- R scripts to reproduce analyses in our paper comparing clustering methods for high-dimensional cytometry data☆45Updated 8 years ago
- Reproducing all analyses and figures for the ASAP-seq paper☆29Updated 4 years ago
- DeepCC: a novel deep learning-based framework for cancer molecular subtype classification☆20Updated 3 years ago
- A study to compare methods for clustering of scRNA-seq data☆43Updated last year
- K-nearest neighbor smoothing for high-throughput single-cell RNA-Seq data☆56Updated 2 years ago
- Wasserstein Generative Adversarial Network for analysing scRNAseq data☆34Updated 4 years ago
- ☆19Updated 5 years ago
- python / numpy / pandas / patsy version of ComBat for removing batch effects.☆105Updated 6 years ago
- Similarity Weighted Nonnegative Embedding (SWNE), a method for visualizing high dimensional datasets☆105Updated 2 years ago
- Clustering through Imputation and Dimensionality Reduction☆63Updated 7 years ago
- ☆26Updated 6 years ago
- Building classifiers using cancer transcriptomes across 33 different cancer-types☆119Updated 6 years ago