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

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Menand, Elena Spirina | Jrad, Nisrine | Marion, Jean-Marie | Morel, Alain | Chauvet, Pierre

Edité par CCSD ; IEEE -

International audience. 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.

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