Fitting dose-response models in R
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Updated
May 21, 2024 - R
Fitting dose-response models in R
Sorted L1 Penalized Estimation
gnm package for generalized nonlinear models in R
Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values
Build and Tune Several Models
Ribo-DT is a snakemake pipeline to infer single-codon and codon-pair dwell times as well as gene flux from ribosome profiling data using generalized linear model (GLM) with negative binomial noise model (Gobet et al., PNAS, 2020).
Generalized Linear Models with the Exclusive Lasso Penalty
A Bioconductor package and shiny app for DNA methylation data length bias adjustment in gene set testing
Modelling DNA methylation profiles
Data analysis course taken at EPFL during Spring 2017-18. Assignments consist of data analysis projects done in R.
BranchGLM
Various techniques applied for the prediction of bankruptcy- Generalized Linear Regression- Logistic, Classification Tree, Generalized Additive Model, Linear Discriminant Analysis and Neural Networks. Evaluation criteria used was misclassifcation errors.
Course of Generalized Linear Models at UEM in 2017
Predicting chemosensitivity using gene expression
Bayesian multilevel modeling of real estate sales in NYC
modelc is an R model object to SQL compiler
Analysis of data from the Framingham Heart Study using generalized linear models.
his repository contains the data and source code used to produce the results presented in the paper linked below.
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