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