HaohanWang / LMM-Python
A python linear mixed model package model for GWAS
☆12Updated 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
- Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits☆11Updated 3 years ago
- Personalized Regression☆16Updated 5 years ago
- ☆21Updated 6 years ago
- Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observations".☆25Updated 3 years ago
- Approximate knockoffs and model-free variable selection.☆54Updated 3 years ago
- Code for "oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis"☆26Updated 5 years ago
- B-LRP is the repository for the paper How Much Can I Trust You? — Quantifying Uncertainties in Explaining Neural Networks☆18Updated 2 years ago
- PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders☆42Updated 5 years ago
- NeurIPS17: [AttentiveChrome] Attend and Predict: Using Deep Attention Model to Understand Gene Regulation by Selective Attention on Chrom…☆27Updated 4 years ago
- PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"☆25Updated 4 years ago
- A data analysis package for high-dimensional, multi-block data.☆12Updated 3 years ago
- implementation for Precision Lasso: accounting for correlations and linear dependencies in high-dimensional genomic data☆13Updated 4 years ago
- ☆19Updated 3 years ago
- Code for Variable Selection in Black Box Methods with RelATive cEntrality (RATE) Measures☆19Updated 4 years ago
- ☆24Updated 2 years ago
- Bootstrap Elastic net regression from Time Series is a vector-autoregressive approach to causal inference from gene expression time serie…☆20Updated 2 years ago
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆31Updated 2 years ago
- Implementation of Fibered Auto-Encoders☆9Updated 4 years ago
- A versatile interface to the knockoff methodology.☆24Updated 3 years ago
- Developing efficient Bayesian phylogenetic inference methods☆11Updated 5 years ago
- Notebooks accompanying the paper "Navigating the pitfalls of applying machine learning in genomics"☆45Updated last year
- Source code for integrative nonnegative matrix factorization☆18Updated 6 years ago
- Categorical Variational Autoencoders☆24Updated 3 years ago
- Homology reduced UniProt, train-/valid-/testsets for language modeling☆16Updated 3 years ago
- Archetypal Analysis network (AAnet)☆33Updated 3 months ago
- Perform inference on algorithm-agnostic variable importance in Python☆20Updated 2 years ago
- Learning disentangled representations of single-cell data for high-quality generation☆16Updated last year
- Python version of Factored Spectrally Transformed Linear Mixed Models☆52Updated 6 months ago
- generalized principal component analysis (GLM-PCA) implemented in python☆60Updated 4 years ago
- An SKLearn-style toolbox for estimating and analyzing models, distributions, and functions with context-specific parameters.☆70Updated 3 months ago