• Deep Learning to Analyze RNA-Seq Gene Expression Data 

      Urda, Daniel; Montes-Torres, Julio; Moreno, Fernando; Franco, Leonardo; Jerez-Aragonés, José Manuel (Springer, 2017)
      Deep learning models are currently being applied in several areas with great success. However, their application for the analysis of high-throughput sequencing data remains a challenge for the research community due to ...
    • Machine learning models to search relevant genetic signatures in clinical context 

      Urda, Daniel; Luque-Baena, Rafael; Franco, Leonardo; Sánchez-Maroño, Noelia; Jerez-Aragonés, José Manuel (2017-06-26)
      Clinicians are interested in the estimation of robust and relevant genetic signatures from gene sequencing data. Many machine learning approaches have been proposed trying to address well-known issues of this complex ...