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SandraKla

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Projects & Publications

Shiny Apps

Project Description Publication
AdRI Shiny app for calculating Age-dependent Reference Intervals Referenzintervalle bei Kindern - Wenn Tabellen an ihre Grenzen stoßen
AdRI_GAMLSS Visualization tool for continuous reference intervals based on GAMLSS models A visualization tool for continuous reference intervals based on GAMLSS
→ now in AdRI
AdRI_rpart Tool for automated sex and age partitioning using regression tree models Automated sex and age partitioning for the estimation of reference intervals using a regression tree model
→ now in AdRI
AdRI-Generator Generates age-dependent analyte data using functions or predefined reference intervals  
Zlog_AdRI Shiny tool for plausibility checks of reference intervals using a zlog A zlog-based algorithm and tool for plausibility checks of reference intervals
reflimR_Shiny Shiny app for rapid and transparent verification of reference intervals A Novel Tool for the Rapid and Transparent Verification of Reference Intervals in Clinical Laboratories
→ now in VeRIf
VeRIf Verification of reference intervals using reflimR and refineR.  

Cooperation on other Shiny Apps

Project Description Publication
ShinySurfer Shiny app for visualization and statistical analysis of cortical parameters from magnetic resonance imaging (MRI) ShinySurfer: A tool for visualization and statistical analysis of cortical parameters
GenomeNet responseViewer Visualization of state responses of GenomeNet  

Packages

Package Description Publication
NewickReader R package to read and print the simple Newick format.  
reflimR R package for reference limit estimation using routine laboratory data. reflimR - Reference Limit Estimation Using Routine Laboratory Data
A Novel Tool for the Rapid and Transparent Verification of Reference Intervals in Clinical Laboratories
reflimR.expand Extended package forreflimR, including reflimLOD and reflimR_Sliding.  

Cooperation on other Packages

Package Description Publication
deepG DeepG, or “Deep Genomics”, is an R library for training and applying deep neural networks on genomic datasets https://doi.org/10.5281/zenodo.5561229

Courses

Course Description
reflimR-workshop Workshop materials for learning and applying reflimR.