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    1. Plant Biology

    Automated quantitative histology reveals vascular morphodynamics during Arabidopsis hypocotyl secondary growth

    Martial Sankar et al.
    Combining high-resolution imaging with automated image segmentation and supervised machine learning achieves accurate cellular feature extraction and automated cell type recognition in a large-scale developmental process.
  1. Open-Source Community Call: AI and machine-learning technologies for open research

    We share a recording of our discussion on the recent efforts and opportunities in applying cutting-edge technologies to research communication.
    1. Computational and Systems Biology

    A computational interactome and functional annotation for the human proteome

    José Ignacio Garzón et al.
    A machine-learning approach is used to predict 1.35 million interactions for 85% of the human proteome.
    1. Computational and Systems Biology
    2. Neuroscience

    Discovering and deciphering relationships across disparate data modalities

    Joshua T Vogelstein et al.
    Multiscale Graph Correlation, an interpretable hypothesis test with strong theoretical guarantees for discerning relationships in complex data, requires about half the sample size as other methods, whilst maintaining computational tractability.
    1. Computational and Systems Biology
    2. Ecology

    Data-driven identification of potential Zika virus vectors

    Michelle V Evans et al.
    Data-driven methods predict over 35 mosquitoes are potential vectors of Zika virus, suggesting a larger geographic area and a greater human population is at risk of infection.
    1. Computational and Systems Biology

    Systematic integration of biomedical knowledge prioritizes drugs for repurposing

    Daniel Scott Himmelstein et al.
    Project Rephetio combines data integration and systematic analysis to enable drug repurposing predictions on an unprecedented scale.
    1. Computational and Systems Biology
    2. Neuroscience

    Blood transcriptome based biomarkers for human circadian phase

    Emma E Laing et al.
    An unbiased modelling approach shows that only a few blood transcriptome samples are required to accurately assess the human circadian melatonin phase, even during altered sleep schedules.
    1. Cell Biology
    2. Ecology

    Quantitative 3D-imaging for cell biology and ecology of environmental microbial eukaryotes

    Sebastien Colin et al.
    Three-dimensional fluorescence imaging of microbial eukaryotes in environmental samples allows accurate automated taxonomic profiling and quantitative data about ultrastructures and interactions of organisms.
    1. Neuroscience

    Local online learning in recurrent networks with random feedback

    James M Murray
    A biologically plausible learning rule enables recurrent neural networks to model the way in which neural circuits use supervised learning to perform time-dependent computations.
    1. Computational and Systems Biology
    2. Developmental Biology

    Analysis of zebrafish periderm enhancers facilitates identification of a regulatory variant near human KRT8/18

    Huan Liu et al.
    Analysis of zebrafish periderm enhancers illuminates the conserved DNA of epithelial enhancers across species and prioritizes orofacial-cleft-associated regulatory variants near KRT18/KRT8.