abidlabs / contrastiveLinks
Contrastive PCA
☆232Updated 4 months ago
Alternatives and similar repositories for contrastive
Users that are interested in contrastive are comparing it to the libraries listed below
Sorting:
- Here we address the global structure preservation by tSNE and UMAP☆47Updated 5 years ago
- Multiple hypothesis testing in Python☆112Updated last year
- generalized principal component analysis (GLM-PCA) implemented in python☆61Updated 5 years ago
- The art of using t-SNE for single-cell transcriptomics☆130Updated last year
- The need to understand cell developmental processes has spawned a plethora of computational methods for discovering hierarchies from scRN…☆150Updated 4 years ago
- Parallel opt-SNE implementation with Python wrapper☆38Updated 3 years ago
- Python package for the creation, manipulation, and learning of Causal DAGs☆157Updated 2 years ago
- An implementation of Consensus clustering in Python☆63Updated last year
- A practical tool for Maximal Information Coefficient (MIC) analysis☆140Updated last year
- A versatile interface to the knockoff methodology.☆26Updated 3 years ago
- Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data☆192Updated 4 years ago
- Bootstrap Elastic net regression from Time Series is a vector-autoregressive approach to causal inference from gene expression time serie…☆20Updated 3 years ago
- Density-preserving data visualization tools den-SNE and densMAP☆116Updated 4 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☆37Updated 2 years ago
- ☆61Updated last year
- Creating multi-resolution embeddings and clusters from high dimensional data☆58Updated last year
- Deep learning for single-cell transcript counts☆88Updated 10 months ago
- Denoising Autoencoders for Phenotype Stratification☆42Updated 7 years ago
- ☆102Updated last year
- Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.☆56Updated 5 years ago
- Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with minimal memory usage. Outperforms sklearn's …☆23Updated 4 years ago
- Here I explain the math behind UMAP and show how to program it from scratch in Python☆38Updated 5 years ago
- Regularized kernel canonical correlation analysis in Python☆258Updated 4 years ago
- A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overla…☆143Updated 4 years ago
- A Bayesian group factor model with structured sparsity☆22Updated 10 years ago
- A Python package for General Graphical Lasso computation☆40Updated 11 months ago
- Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…☆152Updated 5 years ago
- Python package that implements the PCHA algorithm for Archetypal Analysis by Mørup et. al.☆43Updated 5 months ago
- Python package for multi-view machine learning☆217Updated 2 years ago
- Probabilistic contrastive principal component analysis (PCPCA)☆24Updated 4 years ago