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. Computational and Systems Biology

    Artificial intelligence approaches for tumor phenotype stratification from single-cell transcriptomic data

    Namrata Bhattacharya, Anja Rockstroh ... Debarka Sengupta
    SCellBOW is a language model-based scRNA-seq analysis method that identifies malignant cell subpopulations and infers marker-free survival risks using transfer learning.
    1. Computational and Systems Biology

    A mathematical model that predicts human biological age from physiological traits identifies environmental and genetic factors that influence aging

    Sergiy Libert, Alex Chekholko, Cynthia Kenyon
    A model was developed to predict human biological age from physiological traits, enabling the prediction of future health and mortality and the identification of genetic loci that influence aging.
    1. Neuroscience
    2. Computational and Systems Biology

    Neural dynamics of reversal learning in the prefrontal cortex and recurrent neural networks

    Christopher M Kim, Carson C Chow, Bruno B Averbeck
    Revised
    Reviewed Preprint v2
    Updated
    • Valuable
    • Incomplete
    1. Computational and Systems Biology
    2. Cancer Biology

    BEHAV3D Tumor Profiler to map heterogeneous cancer cell behavior in the tumor microenvironment

    Emilio Rios-Jimenez, Anoek Zomer ... Maria Alieva
    Revised
    Reviewed Preprint v2
    Updated
    • Useful
    • Incomplete
    1. Medicine
    2. Computational and Systems Biology

    Calibration and validation strategy for electromechanical cardiac digital twins

    Zhinuo Jenny Wang, Maxx Holmes ... Blanca Rodriguez
    Not revised
    Reviewed Preprint v1
    • Important
    • Solid
    • Incomplete
    1. Computational and Systems Biology
    2. Physics of Living Systems

    Overflow metabolism originates from growth optimization and cell heterogeneity

    Xin Wang
    The combination of growth optimization and cell heterogeneity enables a quantitative explanation of overflow metabolism in microbes and the classical Warburg effect in cancer cells, resolving this long-standing puzzle.
    1. Computational and Systems Biology

    Dynamical mechanisms of growth-feedback effects on adaptive gene circuits

    Ling-Wei Kong, Wenjia Shi ... Ying-Cheng Lai
    Systematic simulations reveal how growth feedback undermines the stability of adaptive gene circuits in a topology-dependent manner.
    1. Computational and Systems Biology

    Pathway activation model for personalized prediction of drug synergy

    Quang Thinh Trac, Yue Huang ... Trung Nghia Vu
    Drug synergy Interaction Prediction improves personalized drug synergy prediction by utilizing drug-specific pathway activation scores to predict personalized drug synergy and reveals mechanistic pathways underlying synergistic effects.
    1. Computational and Systems Biology

    Predicting the effect of CRISPR-Cas9-based epigenome editing

    Sanjit Singh Batra, Alan Cabrera ... Yun S Song
    Revised
    Reviewed Preprint v3
    Updated
    • Useful
    • Solid

Senior editors

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