Pinned Repositories
clv
Compositional Lotka-Volterra
dca
Deep count autoencoder for denoising scRNA-seq data
dmbvs
Dirichlet-Multinomial Bayesian Variable Selection
DMM
Code for simulation experiment testing the performance of Dirichlet-multinomial modelling for data of varying attributes.
extended-single-cell-best-practices
This project is work in progress! Please be patient.
GPMicrobiome
A novel probabilistic approach to explicitly model overdispersion and sampling zeros in 16S rRNA sequencing data by considering the temporal correlation between nearby time points using Gaussian Processes
helfertool
Volunteer and staff management
johannesostner.github.io
Johannes Ostner's personal website
Stein-Variational-Gradient-Descent
code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
VBMultDirReg
Variational Bayes Multinomial Dirichlet
johannesostner's Repositories
johannesostner/dca
Deep count autoencoder for denoising scRNA-seq data
johannesostner/helfertool
Volunteer and staff management
johannesostner/clv
Compositional Lotka-Volterra
johannesostner/dmbvs
Dirichlet-Multinomial Bayesian Variable Selection
johannesostner/DMM
Code for simulation experiment testing the performance of Dirichlet-multinomial modelling for data of varying attributes.
johannesostner/extended-single-cell-best-practices
This project is work in progress! Please be patient.
johannesostner/GPMicrobiome
A novel probabilistic approach to explicitly model overdispersion and sampling zeros in 16S rRNA sequencing data by considering the temporal correlation between nearby time points using Gaussian Processes
johannesostner/johannesostner.github.io
Johannes Ostner's personal website
johannesostner/Stein-Variational-Gradient-Descent
code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
johannesostner/VBMultDirReg
Variational Bayes Multinomial Dirichlet