BenjaminDoran / unidipLinks
Python port of the Unidip clustering algorithm from: http://www.kdd.org/kdd2016/subtopic/view/skinny-dip-clustering-in-a-sea-of-noise
☆37Updated 2 years ago
Alternatives and similar repositories for unidip
Users that are interested in unidip are comparing it to the libraries listed below
Sorting:
- generalized principal component analysis (GLM-PCA) implemented in python☆59Updated 4 years ago
- Python translation of the hybrid dynamicTreeCut method as created by Peter Langfelder and Bin Zhang.☆40Updated 4 years ago
- Subpopulation detection in high-dimensional single-cell data☆71Updated 5 years ago
- Systematically learn and evaluate manifolds from high-dimensional data☆101Updated 2 weeks ago
- Here we address the global structure preservation by tSNE and UMAP☆47Updated 5 years ago
- An object oriented python library for topological data analysis of high-throughput single-cell RNA-seq data☆52Updated 7 years ago
- python / numpy / pandas / patsy version of ComBat for removing batch effects.☆106Updated 6 years ago
- "Dimensionality-increasing" data visualization tool and interactive WebGL Jupyter widget built for single-cell data.☆118Updated 2 years ago
- Python Wrapper for FIt-SNE☆45Updated 4 years ago
- Parallel opt-SNE implementation with Python wrapper☆37Updated 3 years ago
- Picasso: a methods for embedding points in 2D in a way that respects distances while fitting a user-specified shape.☆70Updated this week
- Python package that implements the PCHA algorithm for Archetypal Analysis by Mørup et. al.☆40Updated last month
- Creating multi-resolution embeddings and clusters from high dimensional data☆56Updated last year
- This Python package will allow you to replicate the experiments from our research on applying Optimal Transport as a similarity metric in…☆42Updated 2 years ago
- Examples using Clustergrammer2 to explore high-dimensional datasets.☆40Updated 5 years ago
- An unsupervised transfer learning approach for rare disease transcriptomics☆45Updated 5 years ago
- ☆100Updated last year
- ☆42Updated last year
- Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit☆49Updated 2 years ago
- Single-cell multi-omics integration using Optimal Transport☆46Updated last month
- A Python library for reading and writing Flow Cytometry Standard (FCS) files☆49Updated 4 months ago
- Python/C implementation of Hartigan & Hartigan's dip test, based on Martin Maechler's R package☆29Updated 3 years ago
- Python, R and Matlab implementation of Brown's Method to combine dependent P-values☆25Updated 7 years ago
- A Library for Denoising Single-Cell Data with Random Matrix Theory☆37Updated 2 years ago
- Contrastive PCA☆226Updated 11 months ago
- ☆33Updated 4 years ago
- Bioinformatics in Python☆58Updated last year
- Fit generalized linear models in python.☆28Updated 2 years ago
- Multi-omics factor analysis v2☆49Updated 11 months ago
- A spectral method for assessing and combining multiple data visualizations☆50Updated 2 years ago