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  1. Article

    Open Access

    Harvestman: a framework for hierarchical feature learning and selection from whole genome sequencing data

    Supervised learning from high-throughput sequencing data presents many challenges. For one, the curse of dimensionality often leads to overfitting as well as issues with scalability. This can bring about inacc...

    Trevor S. Frisby, Shawn J. Baker, Guillaume Marçais, Quang Minh Hoang in BMC Bioinformatics (2021)

  2. Article

    Open Access

    Parsimonious reconstruction of network evolution

    Understanding the evolution of biological networks can provide insight into how their modular structure arises and how they are affected by environmental changes. One approach to studying the evolution of thes...

    Rob Patro, Emre Sefer, Justin Malin, Guillaume Marçais in Algorithms for Molecular Biology (2012)