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Article

LFSPROShiny: An Interactive R/Shiny App for Prediction and Visualization of Cancer Risks in Families With Deleterious Germline TP53 Mutations.

JCO clinical cancer informatics - 1 Feb 2024

Nguyen Nam H, Dodd-Eaton Elissa B, Peng Gang, Corredor Jessica L, Jiao Wenwei, Woodman-Ross Jacynda, Arun Banu K, Wang Wenyi

Abstract excerpt

PURPOSE: LFSPRO is an R library that implements risk prediction models for Li-Fraumeni syndrome (LFS), a genetic disorder characterized by deleterious germline mutations in the TP53 gene. To facilitate the use of these models in clinics, we developed LFSPROShiny, an interactive R/Shiny interface of LFSPRO that allows genetic counselors (GCs) to perform risk predictions without any programming components and...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 38346271
DOI: 10.1200/CCI.23.00167
PMCID: PMC10871774

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