158 citations · 170 across the 5 of their papers we have counts for
5 papers
Exact computation of posterior distribution of mixture weights in hierarchical Bayesian models
Georgy Meshcheryakov
Hierarchical mixture models are a powerful tool for modeling data generated from heterogeneous sources, particularly when the mixing proportion itself is treated a…
MARADONER: Motif Activity Response Analysis Done Right
Georgy Meshcheryakov, Andrey I. Buyan
Inferring the activities of transcription factors from high-throughput transcriptomic or open chromatin profiling, such as RNA-/CAGE-/ATAC-Seq, is a long-standing challenge in syst…
MIXALIME: MIXture models for ALlelic IMbalance Estimation in high-throughput sequencing data
Georgy Meshcheryakov, Sergey Abramov, Aleksandr Boytsov +3
Modern high-throughput sequencing assays efficiently capture not only gene expression and different levels of gene regulation but also a multitude of genome variants. Focused analy…
semopy 2: A Structural Equation Modeling Package with Random Effects in Python
Georgy Meshcheryakov, Anna A. Igolkina, Maria G. Samsonova
Structural Equation Modeling (SEM) is an umbrella term that includes numerous multivariate statistical techniques that are employed throughout a plethora of research areas, ranging…
semopy: A Python package for Structural Equation Modeling
Meshcheryakov Georgy, Igolkina Anna
Structural equation modelling (SEM) is a multivariate statistical technique for estimating complex relationships between observed and latent variables. Although numerous SEM packag…