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:link: Methods for Correlation Analysis
Bayesian Gaussian Graphical Models
Linear Gaussian Bayesian Networks - Inference, Parameter Learning and Representation. 🖧
Bayesian structure learning and classification in decomposable graphical models.
PCA, Factor Analysis, CCA, Sparse Covariance Matrix Estimation, Imputation, Multiple Hypothesis Testing
This module is a tool for calculating correlations such as Partial, Tetrachoric, Intraclass correlation coefficients, Bootstrap agreement, Rater reliability, Generalizability Theory, Analytic Hierarchy Process, and allows users to produce Gaussian Graphical Model and Partial plot.
Source code for the paper "Fast and Accurate Inference of Gene Regulatory Networks through Robust Precision Matrix Estimation", by Passemiers et al.
High-dimensional change point detection in Gaussian Graphical models with missing values
A Lightning-fast algorithm for Gene Regulatory Network inference from gene expression data
GGM structure learning using 1 bit.
Monte Carlo Penalty Selection for graphical lasso
This aim of this project is to analyze globular star clusters in the Milky Way, in order to understand their dynamics. The conducted study examined the properties that affect the central velocity dispersion, their impact and the correlations between them.