2,806 results found
    1. Cell Biology
    2. Computational and Systems Biology

    Active machine learning-driven experimentation to determine compound effects on protein patterns

    Armaghan W Naik et al.
    In an investigation into the effects of drugs on proteins, an active machine learning algorithm chose which sets of experiments to perform and was able to learn an accurate model of the effects after doing only a fraction of the experiments.
    1. Stem Cells and Regenerative Medicine

    Live cell-lineage tracing and machine learning reveal patterns of organ regeneration

    Oriol Viader-Llargués et al.
    A combination of live cell tracking, cell-lineage tracing and machine learning shows that injured sensory organs repair accurately regardless of the extent of damage.
    1. Epidemiology and Global Health
    2. Microbiology and Infectious Disease

    Structured illumination microscopy combined with machine learning enables the high throughput analysis and classification of virus structure

    Romain F Laine et al.
    Machine learning in conjunction with super-resolution imaging allows for the first time to quantitatively analyse large and heterogenous virus samples structure at a high throughput and specificity.
    1. Neuroscience

    Comprehensive machine learning analysis of Hydra behavior reveals a stable basal behavioral repertoire

    Shuting Han et al.
    A novel automated behavior analysis method for Hydra identifies pre-defined and new behavior types, and reveals a stable behavior repertoire.
    1. Neuroscience

    Cellular cartography of the organ of Corti based on optical tissue clearing and machine learning

    Shinji Urata et al.
    A method of generating comprehensive maps of cochlear cells was created and enabled researchers to study characteristics of cellular damage in aged and noise-exposed inner ear.
    1. Computational and Systems Biology
    2. Structural Biology and Molecular Biophysics

    Linking time-series of single-molecule experiments with molecular dynamics simulations by machine learning

    Yasuhiro Matsunaga, Yuji Sugita
    A general machine learning scheme for integrating time-series data from single-molecule experiments and molecular dynamics simulations is proposed and successfully demonstrated for the folding dynamics of the WW domain.
    1. Cancer Biology

    Diagnostic potential for a serum miRNA neural network for detection of ovarian cancer

    Kevin M Elias et al.
    Application of machine learning to serum miRNA profiles generated through next generation sequencing identifies a biologically relevant miRNA signature which can be deployed as a qPCR test to assist the diagnosis of epithelial ovarian cancer.
    1. Computational and Systems Biology
    2. Physics of Living Systems

    Learning protein constitutive motifs from sequence data

    Jérôme Tubiana et al.
    A new machine-learning toolbox unveils coevolutionary protein motifs related to structure, function, and phylogeny from sequence information only.
    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. Cell Biology
    2. Physics of Living Systems

    KymoButler, a deep learning software for automated kymograph analysis

    Maximilian AH Jakobs et al.
    KymoButler is a machine learning approach towards the reliable, quick, and fully automated analysis of the dynamics of fluorescently labelled particles in living cells.

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