What 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 at CI4CB 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.

Find out about the Group’s activities

Main publications 2020

  • Ataee S et al.
    Towards BacterioPhage Genetic Edition: Deep Learning Prediction of Phage-Bacterium Interactions
    Proceedings of 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 16-19 December 2020, Seoul, South Korea, 10.1109/BIBM49941.2020.9313487
  • Mungloo-Dilmohamud Z et al.
    Stability of Feature Selection Methods: A Study of Metrics Across Different Gene Expression Datasets
    Springer, Cham, 10.1007/978-3-030-45385-5_59



Carlos-Andrés Peña-Reyes
Computational Intelligence for Computational Biology (CI4CB)
HEIG-VD, Yverdon-Les-Bains
Group Webpage

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Domain(s) of activity:

  • Text mining and machine learning
  • Systems biology
  • Biomarkers
  • Data mining
  • Machine learning
  • Metagenomics
  • Software engineering

Domain(s) of application:

  • Agriculture
  • Medicine and health
  • Ecology