University Medical Center Utrecht
Leading academic hospital and research institution in Utrecht Netherlands.
Compas Toolkit
The Compas Toolkit is a high-performance C++ library offering GPU-accelerated functions for use in quantitative MRI research.
- GPU
- High performance computing
- MRI
- (C)
- (C++)
- (CMake)
- + 4
ggmice
The {ggmice} package provides visualization tools for incomplete and imputed data in R, compatible with {mice} and {ggplot2}.
- Data Analysis
- R
- Statistics
- + 1
- (R)
PolarMorphism
PolarMorphism uses results from GWAS of multiple phenotypes to output statistics per SNP that describe its degree of 'sharedness' across the phenotypes of interest and its overall (multivariate) effect size, as well as p-values indicating significance for each statistic.
- genomics
- GWAS
- pleiotropy
- (R)
sv-callers
Highly portable parallel workflow to detect structural variants in cancer genomes.
- Big data
- High performance computing
- Workflow technologies
- (Python)
- (Shell)
sv-channels
Genome-wide detection of structural variants using deep learning
- Machine learning
- ("Jupyter Notebook")
- (Python)
- (R)
- + 1
sv-gen
Highly portable parallel workflow to generate artificial genomes with structural variants.
- Big data
- High performance computing
- Workflow technologies
- (Python)
- (Shell)
ValidSense
The ValidSense toolbox aims to assess the agreement between two quantitative methods using the Limits of Agreement analysis, aka the Bland-Altman analysis. Four existing variants are available. Moreover, a Longitudinal analysis is developed to assess agreement over time.
- Agreement Analysis
- Bland-Altman
- Limits of Agreement
- + 1
- (Python)