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Web-Based Survival Analysis Tool Tailored for Medical Research (KMplot): Development and Implementation
András Lánczky1,2, Balázs Győrffy1,2
1Department of Bioinformatics, Semmelweis University, Budapest, Hungary.
Journal of Medical Internet Research
|July 26, 2021
Summary
A new web tool offers survival analysis for medical research, assessing disease progression and treatment effectiveness. This tool supports omics and clinical data, filling a critical gap in accessible bioinformatic analysis.
Area of Science:
- Bioinformatics
- Medical Research
- Genomics
Background:
- Survival analysis is crucial for assessing clinical outcomes in disease progression and treatment efficiency.
- Existing spreadsheet software lacks survival analysis capabilities, and no dedicated web server is available.
- There is a need for accessible tools to perform survival analysis on complex biological data.
Purpose of the Study:
- To introduce a web-based tool for performing survival analysis.
- To enable univariate and multivariate Cox proportional hazards survival analysis.
- To utilize data from genomic, transcriptomic, proteomic, or metabolomic studies.
Main Methods:
- Implemented methods for data trichotomization or dichotomization.
- Computed false discovery rate for multiple hypothesis testing correction.
- Enabled multivariate analysis comparing omics data with clinical variables.
Main Results:
- Developed a registration-free, web-based survival analysis tool.
- The tool performs univariate and multivariate survival analysis.
- The tool accepts and analyzes any custom-generated data.
Conclusions:
- The developed tool addresses a significant gap in medical research.
- This web-based survival analysis tool is an invaluable resource for basic and clinical research.
- Facilitates advanced analysis of omics and clinical data for improved research outcomes.
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