HaohanWang / LMM-PythonLinks
A python linear mixed model package model for GWAS
☆13Updated 3 years ago
Alternatives and similar repositories for LMM-Python
Users that are interested in LMM-Python are comparing it to the libraries listed below
Sorting:
- Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observations".☆28Updated 4 years ago
- PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders☆42Updated 5 years ago
- Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits☆11Updated 4 years ago
- Approximate knockoffs and model-free variable selection.☆56Updated 4 years ago
- Learning disentangled representations of single-cell data for high-quality generation☆16Updated last year
- Categorical Variational Autoencoders☆24Updated 3 years ago
- ☆21Updated 6 years ago
- ☆24Updated 4 years ago
- Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with minimal memory usage. Outperforms sklearn's …☆23Updated 4 years ago
- c-lasso: a Python package for constrained sparse regression and classification☆32Updated 4 years ago
- ☆17Updated 5 years ago
- generalized principal component analysis (GLM-PCA) implemented in python☆60Updated 4 years ago
- Sequence data label generation and ingestion into deep learning models☆11Updated 4 years ago
- PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"☆25Updated 5 years ago
- ☆21Updated 8 years ago
- Monet: An open-source Python package for analyzing scRNA-Seq data using PCA-based latent spaces☆40Updated 4 years ago
- Latent spaces for single cells☆21Updated 2 years ago
- An SKLearn-style toolbox for estimating and analyzing models, distributions, and functions with context-specific parameters.☆76Updated 2 months ago
- A data analysis package for high-dimensional, multi-block data.☆12Updated 3 years ago
- Probabilistic contrastive principal component analysis (PCPCA)☆24Updated 4 years ago
- Tools for building and manipulating graphs in Python☆45Updated 3 weeks ago
- Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.☆56Updated 4 years ago
- DeepProfile framework, which learns a variational autoencoder (VAE) network from a vast quantity of publicly available gene expression sa…☆19Updated 7 years ago
- ☆17Updated 6 years ago
- Parallel opt-SNE implementation with Python wrapper☆37Updated 3 years ago
- Graph regularized nonnegative matrix factorization (GNMF) in Python☆45Updated 5 years ago
- Initialization is critical for preserving global data structure in both t-SNE and UMAP☆24Updated 4 years ago
- Mixture of Gaussian Processes Model for Sparse Longitudinal Data☆38Updated 2 years ago
- Contrastive neighbor embeddings☆56Updated last week
- A Library for Denoising Single-Cell Data with Random Matrix Theory☆37Updated 2 years ago