andrewcharlesjones / pcpcaLinks
Probabilistic contrastive principal component analysis (PCPCA)
☆24Updated 4 years ago
Alternatives and similar repositories for pcpca
Users that are interested in pcpca are comparing it to the libraries listed below
Sorting:
- generalized principal component analysis (GLM-PCA) implemented in python☆61Updated 4 years ago
- A Library for Denoising Single-Cell Data with Random Matrix Theory☆37Updated 2 years ago
- ☆10Updated last year
- ☆11Updated 7 months ago
- 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
- A Python package for General Graphical Lasso computation☆40Updated 10 months ago
- A spectral method for assessing and combining multiple data visualizations☆50Updated 2 years ago
- Here we address the global structure preservation by tSNE and UMAP☆47Updated 5 years ago
- Contrastive Poisson latent variable models (CPLVMs)☆11Updated 3 years ago
- Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits☆11Updated 4 years ago
- Contrastive PCA☆231Updated 3 months ago
- Latent spaces for single cells☆21Updated 2 years ago
- PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders☆42Updated 5 years ago
- Gaussian process regression package for counts data with negative binomial and zero-inflated negative binomial likelihoods☆23Updated 10 months ago
- ☆16Updated 4 years ago
- Initialization is critical for preserving global data structure in both t-SNE and UMAP☆24Updated 4 years ago
- Creating multi-resolution embeddings and clusters from high dimensional data☆57Updated last year
- pyGPCCA - python GPCCA: Generalized Perron Cluster Cluster Analysis package to coarse-grain reversible and non-reversible Markov state mo…☆26Updated 9 months ago
- A versatile interface to the knockoff methodology.☆26Updated 3 years ago
- Attraction-Repulsion Spectrum in Neighbor Embeddings☆31Updated 3 years ago
- Density-preserving data visualization tools den-SNE and densMAP☆116Updated 4 years ago
- Conditional out-of-distribution prediction☆61Updated last year
- Branching Gaussian process☆30Updated 2 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
- Parallel opt-SNE implementation with Python wrapper☆38Updated 3 years ago
- Here I explain the math behind UMAP and show how to program it from scratch in Python☆38Updated 4 years ago
- Framework for integrating heterogeneous modalities of data☆17Updated 3 years ago
- ☆12Updated 3 years ago
- This is the repository for the single-cell transcriptomics application of the Deep Generative Decoder (DGD), developed by the Krogh group…☆15Updated last year
- ☆64Updated 2 years ago