Reproducible R workflow for analyzing genetic diversity and interactions among maintainers of commercial soybean cultivars, integrating Random Forest, Multiple Correspondence Analysis (MCA), and Self-Organizing Maps (SOM).
Use a variety of data science techniques to detect whether a tax return is fraudulent or not.
hrmR is a shiny app for HRM analysis, using RFU data. The app is tested for Cfx96 data, but any data should suffice, as long as the format is the same. Besides different plots, the app has also comprehensive clustering options.
Statistical analysis on calcium concentration during dialysis
Multi-Variate exploratory analysis on environmental conditions for 137 countries to explore any patterns, if exists, between Happiness levels and environmental conditions
A script for automatic visualisation of Multiple Correspondence Analysis (MCA) results from FactoMineR in 3 dimensions using Plotly (exported as html)
Multivariate analysis (MVA) of high dimensional heterogeneous data
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