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 2019

  • Ramírez López DV et al.
    Isolation, Characterization, and Agent-Based Modeling of Mesenchymal Stem Cells in a Bio-construct for Myocardial Regeneration Scaffold Design
    Data MDPI, doi: 10.3390/data4020071
  • Despraz J et al.
    Exploring internal representations of deep neural networks
    Studies in Comp Intel. Springer, https://doi.org/10.1007/978-3-030-16469-0_7
  • Mungloo-Dilmohamud Z et al.
    Exploring the Stability of Feature Selection Methods Across a Palette of Gene Expression Datasets
    International Conference on Biomedical and Bioinformatics Engineering (ICBBE 2019), doi: 10.1145/3375923.3375938

Find out more about the Group’s activities



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