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    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. 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.
    1. Computational and Systems Biology
    2. Immunology and Inflammation

    Deep generative models for T cell receptor protein sequences

    Kristian Davidsen et al.
    Deep learning improves estimation of T cell receptor cohort frequencies and learns the rules of VDJ recombination, potentially making it helpful for vaccine design.
    1. Evolutionary Biology

    The structure of species discrimination signals across a primate radiation

    Sandra Winters et al.
    Machine learning and experimental tests of receiver bias identify signal components critical to correct species classification in guenons, linking face pattern diversity to selection for species discrimination.
    1. Neuroscience

    Uncovering temporal structure in hippocampal output patterns

    Kourosh Maboudi et al.
    Machine learning models of coordinated hippocampal ensemble activity during sharp wave ripple activity encode structure that mirrors the place cell map expressed during exploration, and enable a new paradigm for analyzing and understanding this offline activity.
    1. Neuroscience

    Sub-second dynamics of theta-gamma coupling in hippocampal CA1

    Lu Zhang et al.
    A combination of signal processing and machine learning form a new approach to classify oscillatory coupling in single cycles without averaging over time and to capture cycle-by-cycle changes in coupling.
    1. Neuroscience

    A prediction model of working memory across health and psychiatric disease using whole-brain functional connectivity

    Masahiro Yamashita et al.
    Human neuroimaging and machine learning reveals a generalizable relationship between brain connectivity and working memory ability across healthy populations and distinct psychiatric diagnoses.
  1. Paper with 1000 citations and barcode-like frequency of citations in IMRAD sections

    Investigating the context of citations

    A report from a short project using natural language processing and machine learning on open-access content to understand what lies beneath a citation.
  2. PeerTax generated clusters

    PeerTax: Investigating the taxonomy of peer reviews

    We describe a machine learning approach towards understanding the fundamental components of peer-review reports.