#
negative-binomial-regression
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19 public repositories
matching this topic...
🎓 Tidy tools for academics
Batch effect adjustment based on negative binomial regression for RNA sequencing count data
Multi-sample somatic variant caller
Fit Gamma-Poisson Generalized Linear Models Reliably
Companion repository to Lause, Berens & Kobak (2020): "Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data", bioRxiv
Updated
May 21, 2021
Jupyter Notebook
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.
Negative Binomial Additive Model for RNASeq Data
Norm Constrained Generalised Linear Model using numpy, numba and scipy.
Updated
Dec 8, 2019
Python
MSDS 410 Data Modeling for Supervised Learning (R)
Updated
Nov 16, 2020
HTML
Can features of the built environment be used to predict the locations of pedestrian crashes at the street level in Uptown Charlotte, North Carolina?
A comparison between Poisson regression, quasi-Poisson regression, and negative binomial regression for overdispersed count data.
Mixed Poisson Regression for Overdispersed Count Data
Investigating Overdispersion's Effect on Modeling
Updated
Oct 19, 2017
HTML
Assignment for Advanced Predictive Modeling for MSc Data Analytics
R package for differential expression on count data with parameter bounds
Predicting weekly dengue cases for Iquitos and San Juan using Machine Learning algorithms
Updated
Aug 28, 2017
Jupyter Notebook
Using the Poisson Regression Model and NB Regression Model to predict number of rental bikes.
Updated
Nov 3, 2020
Jupyter Notebook
Data analysis and model codes for DrivenData Projects.
Updated
Sep 12, 2017
Jupyter Notebook
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