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    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. 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
    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. 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. 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. 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. Cell Biology
    2. Computational and Systems Biology

    Integrating images from multiple microscopy screens reveals diverse patterns of change in the subcellular localization of proteins

    Alex X Lu et al.
    100,000s of images from different growth conditions and genetic backgrounds can be integrated into proteome-scale analysis.
    1. Neuroscience

    Extracellular space preservation aids the connectomic analysis of neural circuits

    Marta Pallotto et al.
    Automated segmentation of neurons and identification of synapses in electron micrographs is significantly improved by using simple modifications to chemical fixation protocols that preserve extracellular space in the brain.
    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. Structural Biology and Molecular Biophysics

    Computational design of thermostabilizing point mutations for G protein-coupled receptors

    Petr Popov et al.
    A comprehensive approach to prediction of stabilizing mutations in G-protein coupled receptors yields high hit rate and crystal structures of 5HT2C in both active and inactive states.