Gene expression RNA-sequencing survival analysis of high-grade serous ovarian carcinoma: a comparative study - Université d'Angers
Communication Dans Un Congrès Année : 2021

Gene expression RNA-sequencing survival analysis of high-grade serous ovarian carcinoma: a comparative study

Résumé

Survival analysis of ovarian cancer is a subject of great importance since it allows patient stratification. The objective of this paper is to present an overview of the recent neural network survival analysis techniques, apply them to high-dimensional gene expression data and to compare their performance to predict outcome computed on high-grade serous ovarian carcinoma transcriptomic data. The Cancer Genome Atlas (TCGA) data were used to evaluate different methods. The obtained results were promising.

Domaines

Cancer
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Dates et versions

hal-03993935 , version 1 (17-02-2023)

Identifiants

Citer

Elena Spirina Menand, Nisrine Jrad, Jean-Marie Marion, Alain Morel, Pierre Chauvet. Gene expression RNA-sequencing survival analysis of high-grade serous ovarian carcinoma: a comparative study. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Dec 2021, Houston, United States. pp.3414-3419, ⟨10.1109/BIBM52615.2021.9669562⟩. ⟨hal-03993935⟩
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