Computational and Systems Biology

Computational and Systems Biology

eLife reviews research involving the use of methods, models and software. Learn more about what we review and sign up for the latest research.
Illustration by Davide Bonazzi

Latest articles

    1. Cell Biology
    2. Computational and Systems Biology

    circHIPK3 nucleates IGF2BP2 and functions as a competing endogenous RNA

    Trine Line Hauge Okholm, Andreas Bjerregaard Kamstrup ... Christian Kroun Damgaard
    1. Chromosomes and Gene Expression
    2. Computational and Systems Biology

    voyAGEr, a free web interface for the analysis of age-related gene expression alterations in human tissues

    Arthur L Schneider, Rita Martins-Silva ... Nuno L Barbosa-Morais
    voyAGEr is an online platform that facilitates the exploration of age-related gene expression dynamics in human tissues, allowing users to analyse tissue- and sex-specific changes alongside donor medical histories.
    1. Cancer Biology
    2. Computational and Systems Biology

    A novel machine learning algorithm selects proteome signature to specifically identify cancer exosomes

    Bingrui Li, Fernanda G Kugeratski, Raghu Kalluri
    A robust machine learning diagnostic platform utilizing exosome proteins to distinguish various human cancers in diverse biological fluids.
    1. Computational and Systems Biology

    Improved clinical data imputation via classical and quantum determinantal point processes

    Skander Kazdaghli, Iordanis Kerenidis ... Philip Teare
    1. Computational and Systems Biology
    2. Immunology and Inflammation

    Transformer-based spatial–temporal detection of apoptotic cell death in live-cell imaging

    Alain Pulfer, Diego Ulisse Pizzagalli ... Santiago Fernandez Gonzalez
    ADeS, a novel deep learning approach for apoptosis detection, achieves 98% accuracy in vitro and in vivo while providing unprecedented insights into the spatial–temporal foundation of cell death.
    1. Computational and Systems Biology

    Metabolic model-based ecological modeling for probiotic design

    James D Brunner, Nicholas Chia
    Genome-scale metabolic models can be used to predict the engraftment of probiotics.

Senior editors

  1. Alan Moses
    University of Toronto, Canada
  2. Aleksandra Walczak
    Ecole Normale Superieure, France
  3. See more editors