ulfaslak / py_pchaLinks
Python package that implements the PCHA algorithm for Archetypal Analysis by Mørup et. al.
☆38Updated 2 years ago
Alternatives and similar repositories for py_pcha
Users that are interested in py_pcha are comparing it to the libraries listed below
Sorting:
- generalized principal component analysis (GLM-PCA) implemented in python☆60Updated 4 years ago
- Python Wrapper for FIt-SNE☆45Updated 4 years ago
- A library to simulate single-cell data☆2Updated 2 years ago
- A collection of scripts and tools for loading, processing, and handling single cell data.☆72Updated last year
- An object oriented python library for topological data analysis of high-throughput single-cell RNA-seq data☆51Updated 6 years ago
- Deep learning for single-cell transcript counts☆88Updated 2 months ago
- Python translation of the hybrid dynamicTreeCut method as created by Peter Langfelder and Bin Zhang.☆40Updated 3 years ago
- GrandPrix☆16Updated 6 years ago
- Avocado is a multi-scale deep tensor factorization model that learns a latent representation of the human epigenome and enables imputatio…☆119Updated 3 years ago
- This Python package will allow you to replicate the experiments from our research on applying Optimal Transport as a similarity metric in…☆38Updated 2 years ago
- deep learning toolkit (written on top of tensorflow) to streamline computational biology analysis☆23Updated 2 years ago
- manifold metric and correction techniques for (Bayesian) GPLVM from GPy☆12Updated 5 years ago
- K-nearest neighbor smoothing for high-throughput single-cell RNA-Seq data☆55Updated 2 years ago
- pCMF R package☆14Updated 6 years ago
- Matlab implementation of the Elastic Principal Graphs (ElPiGraph) method☆14Updated 2 years ago
- Python port of the Unidip clustering algorithm from: http://www.kdd.org/kdd2016/subtopic/view/skinny-dip-clustering-in-a-sea-of-noise☆36Updated last year
- Python/C implementation of Hartigan & Hartigan's dip test, based on Martin Maechler's R package☆28Updated 2 years ago
- Archetypal Analysis network (AAnet)☆33Updated 4 months ago
- The art of using t-SNE for single-cell transcriptomics☆125Updated 6 months ago
- Single-cell Hierarchical Poisson Factorization☆70Updated 2 years ago
- ☆29Updated 2 years ago
- Beta version of 1D t-SNE heatmaps to visualize expression patterns of hundreds of genes simultaneously in scRNA-seq☆48Updated 6 years ago
- Variational autoencoder for single cell RNA-seq datasets☆44Updated 7 years ago
- "Dimensionality-increasing" data visualization tool and interactive WebGL Jupyter widget built for single-cell data.☆115Updated 2 years ago
- Python, R and Matlab implementation of Brown's Method to combine dependent P-values☆25Updated 7 years ago
- The need to understand cell developmental processes has spawned a plethora of computational methods for discovering hierarchies from scRN…☆148Updated 3 years ago
- Latent spaces for single cells☆21Updated last year
- Companion repository to Lause, Berens & Kobak (2021): "Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data", Gen…☆40Updated 3 years ago
- An interface for Nested Stochastic Block Model for single cell analysis☆35Updated 2 months ago
- Parallel opt-SNE implementation with Python wrapper☆37Updated 2 years ago