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Integrative Bioinformatics Approach to Identify Prognostic Gene Signatures for Risk Stratification in Thyroid Carcinoma

2026-04-27

Abstract excerpt

Thyroid cancer is a heterogeneous malignancy with variable outcomes, highlighting the need for reliable biomarkers and effective risk stratification. In this study, we implemented a multi-step integrative framework to identify distinct prognostic biomarker sets using transcriptomic data from 572 thyroid cancer patients. Correlation analysis followed by false discovery rate (FDR) correction revealed significant ass...

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Literature Corpus work
56d6f3ca-fb39-5e3b-be30-a9efca5af7f3
DOI
10.64898/2026.04.23.720344
Open publication

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Integrative Bioinformatics Approach to Identify Prognostic Gene Signatures for Risk Stratification in Thyroid CarcinomaDOI 10.64898/2026.04.23.720344
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