KlugerLab / deepcytofLinks
☆18Updated 8 years ago
Alternatives and similar repositories for deepcytof
Users that are interested in deepcytof 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
- Representation Learning for detection of phenotype-associated cell subsets☆65Updated 4 years ago
- astir | Automated cell identity from single-cell multiplexed imaging and proteomics 🖥🔬✨☆53Updated 3 weeks ago
- Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit☆49Updated 2 years ago
- Creating multi-resolution embeddings and clusters from high dimensional data☆54Updated 9 months ago
- Using self-organizing maps for visualization and interpretation of cytometry data☆64Updated last year
- ☆19Updated 4 years ago
- Compute a 2D embedding of a data matrix given supervised class information.☆12Updated 5 years ago
- R package for differential discovery analyses in high-dimensional cytometry data☆20Updated 5 months ago
- Parallel opt-SNE implementation with Python wrapper☆37Updated 3 years ago
- Spatial Transcriptomics Dashboard☆27Updated 2 years ago
- Code accompanying "Prospective identification of hematopoietic lineage choice by deep learning", Nature methods 2017, DOI:10.1038/nmeth.4…☆20Updated 3 years ago
- R scripts to reproduce analyses in our paper comparing clustering methods for high-dimensional cytometry data☆45Updated 8 years ago
- ☆26Updated 5 years ago
- Bootstrap imputation for scRNAseq data☆12Updated 4 years ago
- MultiMAP for integration of single cell multi-omics☆56Updated last year
- Unsupervised cell functional annotation for single-cell RNA-Seq☆22Updated 2 years ago
- Single-cell exploratory data analysis for RNA-Seq☆40Updated 4 years ago
- Companion repository to Lause, Berens & Kobak (2021): "Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data", Gen…☆40Updated 3 years ago
- Analyzing cellular niches in spatial transcriptomics data☆29Updated 7 months ago
- Monet: An open-source Python package for analyzing scRNA-Seq data using PCA-based latent spaces☆39Updated 3 years ago
- Python utilities for building integrated views of TCGA data.☆32Updated 7 years ago
- Here I show how to use Deep Autoencoders for single cell RNA sequencing data analysis☆19Updated 6 years ago
- An accurate and efficient deep learning method for single-cell RNA-seq data imputation☆89Updated 3 years ago
- Spatial analysis toolkit for single cell multiplexed tissue data☆30Updated 10 months ago
- FlowSOM algorithm in Python, using self-organizing maps and minimum spanning tree for visualization and interpretation of cytometry data☆33Updated 3 years ago
- Multi-omics studies are available here☆51Updated 3 years ago
- scRNAseq integration with triplet neural networks☆41Updated 2 years ago
- Predicting Cell Health with Morphological Profiles☆37Updated 3 years ago
- ☆100Updated 9 months ago