lorinanthony / RATELinks
Code for Variable Selection in Black Box Methods with RelATive cEntrality (RATE) Measures
☆19Updated 4 years ago
Alternatives and similar repositories for RATE
Users that are interested in RATE are comparing it to the libraries listed below
Sorting:
- A Bayesian group factor model with structured sparsity☆21Updated 9 years ago
- We have moved to https://github.com/limix/limix.☆24Updated 7 years ago
- implementation for Precision Lasso: accounting for correlations and linear dependencies in high-dimensional genomic data☆13Updated 4 years ago
- A faster and angrier package for EBMF.☆12Updated 6 months ago
- RSS: Regression with Summary Statistics☆50Updated 11 months ago
- A versatile interface to the knockoff methodology.☆25Updated 3 years ago
- ☆14Updated last year
- AC-PCA: simultaneously performs dimension reduction and adjustment for confounding variation☆14Updated 4 years ago
- Fast Inference of Networks from Directed Regulations☆22Updated last year
- Various Ideas for Confounder Adjustment in Regression☆24Updated 2 years ago
- An R package for adaptive sum of powered score test(ASPU) in genetic association studies.☆12Updated 4 years ago
- R package for sparse canonical correlation analysis with mixed data types (continuous, binary, zero-truncated)☆22Updated 2 years ago
- A public list of computational methods for cell type inference from genome-scale DNA methylation data☆13Updated 6 years ago
- Contrastive Poisson latent variable models (CPLVMs)☆11Updated 3 years ago
- ☆16Updated last year
- Python code for genetic marker selection using linear programming☆42Updated last year
- tGPLVM: A Nonparametric, Generative Model for Manifold Learning with scRNA-seq experimental data☆17Updated 6 years ago
- BhGLM (Bayesian hierarchical GLMs and survival models)☆19Updated last year
- This is a read-only mirror of the CRAN R package repository. SNFtool — Similarity Network Fusion☆21Updated 4 years ago
- R package for fitting high-dimensional multivariate linear mixed effect models☆38Updated 3 months ago
- Deep Treatment Learning (R)☆17Updated 2 years ago
- ☆95Updated last year
- TeraStructure is a new algorithm to fit Bayesian models of genetic variation in human populations on tera-sample-sized data sets (10^12 o…☆49Updated 5 years ago
- Modeling and Analysis of (Statistical) Genetics data in python☆16Updated 2 months ago
- Dirichlet-Multinomial Bayesian Variable Selection☆14Updated last year
- Modelling DNA methylation profiles☆23Updated 5 years ago
- A new model and algorithm for multivariate Bayesian variable selection regression.☆21Updated last year
- Single-cell Hierarchical Poisson Factorization☆73Updated 3 years ago
- Scalable Ultra-Sparse Bayesian PCA☆29Updated last year
- R wrapper for a Java Bayesian GLM variable selection package☆17Updated 5 years ago