2021/05/06 by András Lánczky, Balázs Győrffy · 6 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Decision Sciences · #Data Analysis with R #Meta-analysis and systematic reviews #Metabolomics and Mass Spectrometry Studies
paper · pdf · doi:10.2196/27633
openalex publication_date 2021/05/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01
BACKGROUND: Survival analysis is a cornerstone of medical research, enabling the assessment of clinical outcomes for disease progression and treatment efficiency. Despite its central importance, no commonly used spreadsheet software can handle survival analysis and there is no web server available for its computation. OBJECTIVE: Here, we introduce a web-based tool capable of performing univariate and multivariate Cox proportional hazards survival analysis using data generated by genomic, transcriptomic, proteomic, or metabolomic studies. METHODS: We implemented different methods to establish cut-off values for the trichotomization or dichotomization of continuous data. The false discovery rate is computed to correct for multiple hypothesis testing. A multivariate analysis option enables comparing omics data with clinical variables. RESULTS: We established a registration-free web-based survival analysis tool capable of performing univariate and multivariate survival analysis using any custom-generated data. CONCLUSIONS: This tool fills a gap and will be an invaluable contribution to basic medical and clinical research.