About
Revolutionizing precision medicine through advanced analytics
Precision Medicine and Advanced Analytics
Precision Medicine and Advanced Analytics (PMAA) research group provides advanced analytics solutions for precision medicine related problems, which includes the diagnosis, prognosis and treatment of diseases. For this purpose, our group uses clinical and –omics data, and utilize and further develop biostatistics and machine learning methods, tools and workflows.
What We Offer
- AI-powered genomic analysis
- Predictive modeling tools
- Drug discovery analytics
- Clinical decision support
Precision Medicine
Precision medicine is an emerging practice of medicine that uses an individual's genetic profile to guide decisions made in regard to the prevention, diagnosis, and treatment of disease.
Advanced Analytics
Advanced analytics refers to a collection of sophisticated techniques and tools that are used to analyze large volumes of data, uncover hidden patterns and provide actionable insights.
Tools
Launch specialized tools for your biomedical research workflow
dtComb: Combining Diagnostic Tests
dtComb is a web tool designed to enhance diagnostic accuracy by combining two diagnostic tests. The tool (built in Shiny) integrates 142 different combination approaches—including linear and nonlinear methods, mathematical operators, and machine learning algorithms—to generate more reliable diagnostic scores.
MethComRing
This Shiny App shows interactive and comprehensive tool for combining two diagnostic tests
LDLcomp: Low-Density Lipoprotein Cholesterol Computed
LDLcomp is a web tool designed to compute LDL-C using total cholesterol, high-density lipoprotein (HDL) cholesterol, and triglycerides. The tool provides users with a choice of 28 established calculation formulas as well as 10 pre-trained machine learning models, offering flexible and accurate options for LDL-C estimation.
2x2: A Comprehensive Calculator for Two-Way Contingency Tables
This web-tool is a comprehensive calculator which returns hypothesis test results, associaton/risk measures, diagnostic measures, agreement measures, and similarity/dissimilarity measures for a 2-by-2 contingency table.
ApoBcomp: Apolipoprotein B Computed
ApoBcomp is a web tool developed to estimate ApoB levels using total cholesterol, high-density lipoprotein (HDL) cholesterol, triglycerides, Low-Density Lipoprotein (LDL) Cholesterol, and non-HDL cholesterol. The tool offers users a comprehensive set of options, including 17 formulas and 11 pre-trained machine learning models, enabling flexible, robust, and accurate ApoB estimation across different clinical contexts.