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

🎓 Tidy tools for academics

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

Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction

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

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

Mixed Poisson Regression for Overdispersed Count Data

MSDS 410 Data Modeling for Supervised Learning (R)

Negative Binomial Additive Model for RNASeq Data

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

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

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.

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

My M.Sc. Dissertation investigation stop and search patters using negative binomial regressions

Data Science Project (Regression for Numeric Data)

Investigating Overdispersion's Effect on Modeling

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

Statistical Analysis about cancer incidence in Modena hospital.

UNPUBLISHED: Data analyses showing that animals may adapt to environmental noise by altering behaviors. Urban spiders show greater flexibility than rural ones in coping with variable vibratory noise, likely due to lifelong exposure to anthropogenic disturbances.

Case studies of Copy-number-aware Differential Gene Expression analysis using DeConveil computational framework

Is there a recency bias at the oscars?

Data analysis and model codes for DrivenData Projects.

Slides sobre modelos de regressão poisson e binomial negativa inflacionadas de zeros

Data analyses revealing that funnel web spiders are more abundant, more aggregated, and build lower webs in urban centers than urban forests, with plant diversity and road impact influencing their distribution. Vibratory noise may shape arthropod urban ecology.

This GitHub repository contains R code for analyzing retail analysis with the count dependent variable.

Date cleaning and preprocessing | Data wrangling | Data visualization | Summary statistics | Poisson Regression | Negative Binomial Regression| Zero Inflation | Report Writing | Real world data