🎓 Tidy tools for academics

Batch effect adjustment based on negative binomial regression for RNA sequencing count data

Fit Gamma-Poisson Generalized Linear Models Reliably

Multi-sample somatic variant caller

Companion repository to Lause, Berens & Kobak (2021): "Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data", Genome Biology

Quick Guide for Modelling Count Data in A Multilevel Framework

Estimate the frequency and severity of claims to compute prior and posterior premiums. The GLM method is used with Poisson, Negative Binomial, Gamma, and Log-Norm Distribution.

Predicting weekly dengue cases for Iquitos and San Juan using Machine Learning algorithms

A comparison between Poisson regression, quasi-Poisson regression, and negative binomial regression for overdispersed count data.

Mixed Poisson Regression for Overdispersed Count Data

MSDS 410 Data Modeling for Supervised Learning (R)

Negative Binomial Additive Model for RNASeq Data

Norm Constrained Generalised Linear Model using numpy, numba and scipy.

Using the Poisson Regression Model and NB Regression Model to predict number of rental bikes.

Can features of the built environment be used to predict the locations of pedestrian crashes at the street level in Uptown Charlotte, North Carolina?

This repository documents my senior year independent project that explores the impact of behavioral interactions on the foraging success/attempts of five, peruvian army-ant following birds.

Investigating Overdispersion's Effect on Modeling

Simple model of proposed measures for age/sex adjusted differences in A&E attendance by population

Statistical Analysis about cancer incidence in Modena hospital.

Evaluating proposed CGAN-EB method in simulation enironment