surviveR: a flexible shiny application for patient survival analysis

Abstract Kaplan–Meier (KM) survival analyses based on complex patient categorization due to the burgeoning volumes of genomic, molecular and phenotypic data, are an increasingly important aspect of the biomedical researcher’s toolkit. Commercial statistics and graphing packages for such analyses are...

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Bibliographic Details
Main Authors: Tamas Sessler, Gerard P. Quinn, Mark Wappett, Emily Rogan, David Sharkey, Baharak Ahmaderaghi, Mark Lawler, Daniel B. Longley, Simon S. McDade
Format: Article
Language:English
Published: Nature Portfolio 2023-12-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-48894-9