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    1. Computational and Systems Biology
    2. Immunology and Inflammation

    Tissue-resident memory CD4+ T cells are sustained by site-specific levels of self-renewal and continuous replacement

    Jodie Chandler, M Elise Bullock ... Andrew J Yates
    Memory CD4 T cells within tissues are highly dynamic, and their continuous replacement may erode immunity to previous infections.
    1. Computational and Systems Biology
    2. Physics of Living Systems

    Designing biochemical circuits with tree search

    Pranav S Bhamidipati, Matthew Thomson
    Not revised
    Reviewed Preprint v1
    • Valuable
    • Convincing
    1. Computational and Systems Biology
    2. Neuroscience

    Evidence from pupillometry, fMRI, and RNN modelling shows that gain neuromodulation mediates task-relevant perceptual switches

    Gabriel Wainstein, Christopher J Whyte ... James M Shine
    Phasic neuromodulatory bursts actively drive adaptive perceptual updating by triggering large-scale brain network reconfigurations, as demonstrated through integrated pupillometry, fMRI, and computational modelling.
    1. Neuroscience
    2. Computational and Systems Biology

    Biologically informed cortical models predict optogenetic perturbations

    Christos Sourmpis, Carl CH Petersen ... Guillaume Bellec
    Not revised
    Reviewed Preprint v1
    • Important
    • Compelling
    1. Computational and Systems Biology
    2. Neuroscience

    A common alteration in effort-based decision-making in apathy, anhedonia, and late circadian rhythm

    Sara Z Mehrhof, Camilla L Nord
    Individuals with a late circadian rhythm show the same deficits in motivational decision-making as those with neuropsychiatric symptoms, but only when tested in the morning.
    1. Computational and Systems Biology

    Artificial intelligence driven tumor risk stratification from single-cell transcriptomics using phenotype algebra

    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. Genetics and Genomics
    2. Computational and Systems Biology

    Systematic analysis of transcription factor combinatorial binding uncovers TEAD1 as an antagonist of tissue-specific transcription factors in human organogenesis

    Araceli Garcia-Mora, Joshua Mallen ... Nicoletta Bobola
    Not revised
    Reviewed Preprint v1
    • Important
    • Solid
    • Convincing
    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
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