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    1. Cancer Biology
    2. Computational and Systems Biology

    Individualized discovery of rare cancer drivers in global network context

    Iurii Petrov, Andrey Alexeyenko
    Method NEAdriver employs knowledge from global networks to predict novel cancer driver genes in an individualized manner, which is done by accounting for mutations’ co-occurrence in each tumor genome and rigorous statistical evaluation.
  1. Research Culture: Creating SPACE to evolve academic assessment

    Ruth Schmidt, Stephen Curry, Anna Hatch
    The San Francisco Declaration on Research Assessment (DORA) has developed a new tool called SPACE to support universities and institutions working to improve the assessment of research.
    1. Evolutionary Biology
    2. Genetics and Genomics

    On the limits of fitting complex models of population history to f-statistics

    Robert Maier, Pavel Flegontov ... David Reich
    Many published findings about population history that rely on inference of admixture graph models fitted to f-statistics are not robust since the method is generally inappropriate for extracting new information about population history.
    1. Medicine

    Pharmacometrics of high-dose ivermectin in early COVID-19 from an open label, randomized, controlled adaptive platform trial (PLATCOV)

    William HK Schilling, Podjanee Jittamala ... Nicholas J White
    Pharmacometric evaluation of viral clearance rates based on frequent oropharyngeal sampling is a highly efficient and well-tolerated method of assessing and comparing SARS-CoV-2 antiviral therapeutics in vivo.
    1. Computational and Systems Biology

    Selecting the most appropriate time points to profile in high-throughput studies

    Michael Kleyman, Emre Sefer ... Ziv Bar-Joseph
    The Time Point Selection (or TPS) method is a general protocol for determining sampling rates for high throughout time series biological studies, that is efficient, cheap, scalable and works well for several different types of molecular data.
    1. Neuroscience

    Arguments for the biological and predictive relevance of the proportional recovery rule

    Jeff Goldsmith, Tomoko Kitago ... John W Krakauer
    The proportional recovery rule, an apparently simple model that nonetheless requires careful statistical treatment, remains an important biological and predictive framework for stroke recovery.
    1. Neuroscience

    Statistical inference on representational geometries

    Heiko H Schütt, Alexander D Kipnis ... Nikolaus Kriegeskorte
    New methods for statistical inference in representational similarity analysis were developed, tested thoroughly, and are made available in an open-source Python toolbox.
    1. Computational and Systems Biology

    Protein language model-embedded geometric graphs power inter-protein contact prediction

    Yunda Si, Chengfei Yan
    Integrating multiple protein language models using protein geometric graphs can dramatically improve the model performance for predicting the contacting residue pairs between interacting proteins.
    1. Neuroscience

    Open-source tools for behavioral video analysis: Setup, methods, and best practices

    Kevin Luxem, Jennifer J Sun ... Mark Laubach
    Methods for video analysis of behaving animals are described, with guidance provided on setting up the methods in a research laboratory and best practices for experimenters and developers.
    1. Neuroscience

    Functional and microstructural plasticity following social and interoceptive mental training

    Sofie Louise Valk, Philipp Kanske ... Tania Singer
    Training attention-mindfulness, emotion-motivational, and social cognitive skills over the course of 3 months alters brain functional and microstructural organization as a function of training content.