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Carlos-Andrés Peña-Reyes
Computational Intelligence for Computational Biology (CI4CB)
HEIG-VD, Yverdon-Les-Bains
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What do we do?

With the advent of high-throughput technologies and clinical information systems, the life sciences and clinical sciences now produce very large amounts of data (Big Data). Our goal is to uncover hidden patterns in these data, as well as build data-driven models as tools to discover biomarkers and assist clinicians in their decisions. Our projects encompass the fields of transcriptomics, systems biology, and clinical bioinformatics & analytics.

Highlights 2016

A few ongoing selected projects:

  • INPHINITY, SNSF project with UNIL and Inselspital: We develop predictive models of phage-bacteria interactions so as to build dynamic and comprehensive infection networks. These models help biologists and clinicians select potential therapeutic phages against pathogenic bacteria.
  • FISHGUARD, a Eurostars-2 project in partnership with European SMEs Bioscientia and Biotem: Our bioinformatics and machine-learning expertise contributes to the discovery and characterization of biomarkers that are to be embedded in a novel screening test against two viral infections in fish.
  • BOSS, CTI project with the startup SimplicityBio: We develop new feature selection and visualization methods to improve their biomarker discovery process.
  • D-Rex, Hasler Stiftung-funded project: We explore and develop methods to understand, prioritize and explain the knowledge obtained through a deep neural network by representing it in the form of hierarchical and logical rules.

Our research topics:

 

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