gwgundersen / dpcca
Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observations".
☆25Updated 3 years ago
Related projects: ⓘ
- A versatile interface to the knockoff methodology.☆23Updated 2 years ago
- Contrastive Poisson latent variable models (CPLVMs)☆11Updated 2 years ago
- Probabilistic contrastive principal component analysis (PCPCA)☆24Updated 2 years ago
- Bootstrap Elastic net regression from Time Series is a vector-autoregressive approach to causal inference from gene expression time serie…☆18Updated last year
- Differential Robust PCA☆12Updated 2 years ago
- A Bayesian group factor model with structured sparsity☆20Updated 8 years ago
- Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits☆10Updated 3 years ago
- A Library for Denoising Single-Cell Data with Random Matrix Theory☆36Updated last year
- This Python package will allow you to replicate the experiments from our research on applying Optimal Transport as a similarity metric in…☆36Updated last year
- PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders☆40Updated 4 years ago
- Alignment between clustered datasets via hierarchical Wasserstein distance☆38Updated 11 months ago
- Code for "oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis"☆26Updated 4 years ago
- Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with minimal memory usage. Outperforms sklearn's …☆22Updated 2 years ago
- Tensorflow implementation for the SVGP-VAE model.☆19Updated 3 years ago
- Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by I…☆17Updated 4 years ago
- Attraction-Repulsion Spectrum in Neighbor Embeddings☆30Updated last year
- PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"☆23Updated 4 years ago
- ☆31Updated last year
- Deep Large-Scale Inference UsingKnockoffs☆11Updated 2 years ago
- Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data☆66Updated 7 months ago
- A python linear mixed model package model for GWAS☆12Updated 2 years ago
- Worked examples☆16Updated 6 years ago
- Initialization is critical for preserving global data structure in both t-SNE and UMAP☆21Updated 3 years ago
- ☆17Updated 5 years ago
- Creating multi-resolution embeddings and clusters from high dimensional data☆47Updated 2 years ago
- Branching Gaussian process☆28Updated last year
- Mixture of Gaussian Processes Model for Sparse Longitudinal Data☆32Updated last year
- Latent optimal transport (LOT) for low rank transport and clustering☆20Updated 3 years ago
- generalized principal component analysis (GLM-PCA) implemented in python☆56Updated 3 years ago
- Approximate knockoffs and model-free variable selection.☆49Updated 2 years ago