abidlabs / contrastive
Contrastive PCA
☆203Updated 4 months ago
Alternatives and similar repositories for contrastive:
Users that are interested in contrastive are comparing it to the libraries listed below
- Scikit-learn compatible estimation of general graphical models☆247Updated 11 months ago
- The need to understand cell developmental processes has spawned a plethora of computational methods for discovering hierarchies from scRN…☆147Updated 3 years ago
- generalized principal component analysis (GLM-PCA) implemented in python☆58Updated 4 years ago
- Archetypal Analysis network (AAnet)☆31Updated 3 weeks ago
- A Python package for General Graphical Lasso computation☆32Updated 2 months ago
- Here we address the global structure preservation by tSNE and UMAP☆47Updated 4 years ago
- The art of using t-SNE for single-cell transcriptomics☆122Updated 2 months ago
- A practical tool for Maximal Information Coefficient (MIC) analysis☆130Updated 11 months ago
- Density-preserving data visualization tools den-SNE and densMAP☆110Updated 3 years ago
- Software to create Precision-Recall-Gain curves and calculate area under the curve☆40Updated 2 years ago
- Probabilistic contrastive principal component analysis (PCPCA)☆24Updated 3 years ago
- Python package for the creation, manipulation, and learning of Causal DAGs☆150Updated last year
- ☆98Updated 4 months ago
- ☆58Updated last month
- Python implementation of iterative-random-forests☆64Updated last year
- Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…☆150Updated 4 years ago
- Collapsed Variational Bayes☆68Updated 5 years ago
- Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data☆179Updated 3 years ago
- A versatile interface to the knockoff methodology.☆24Updated 2 years ago
- Generalized linear mixed-effect model in Python☆174Updated 6 years ago
- Creating multi-resolution embeddings and clusters from high dimensional data☆51Updated 4 months ago
- Python translation of the hybrid dynamicTreeCut method as created by Peter Langfelder and Bin Zhang.☆40Updated 3 years ago
- Deep learning for single-cell transcript counts☆85Updated 4 years ago
- Bootstrap Elastic net regression from Time Series is a vector-autoregressive approach to causal inference from gene expression time serie…☆18Updated 2 years ago
- Python Wrapper for FIt-SNE☆45Updated 3 years ago
- A Library for Denoising Single-Cell Data with Random Matrix Theory☆37Updated last year
- ☆78Updated 11 months ago
- ☆116Updated 2 years ago
- General Latent Feature Modeling for Heterogeneous data☆48Updated 10 months ago
- ☆17Updated 3 years ago