3,601 results found
    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. Structural Biology and Molecular Biophysics

    Top-down machine learning approach for high-throughput single-molecule analysis

    David S White et al.
    A new analysis algorithm (DISC) enables accurate analysis of data from high-throughput single-molecule paradigms and reveals a non-cooperative binding mechanism of cyclic nucleotide-binding domains from HCN ion channels.
    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.
    1. Developmental Biology
    2. Evolutionary Biology

    An integrative genomic analysis of the Longshanks selection experiment for longer limbs in mice

    João PL Castro et al.
    Genome sequencing of mice selected for longer limbs reveals that rapid selection response is due to both discrete loci and polygenic adaptation.
    1. Computational and Systems Biology
    2. Neuroscience

    Training deep neural density estimators to identify mechanistic models of neural dynamics

    Pedro J Gonçalves et al.
    Deep neural networks can be trained to automatically find mechanistic models which quantitatively agree with experimental data, providing new opportunities for building and visualizing interpretable models of neural dynamics.
    1. Immunology and Inflammation

    Quantitative analysis of how Myc controls T cell proteomes and metabolic pathways during T cell activation

    Julia M Marchingo et al.
    Myc-dependent induction of amino acid transporter expression in response to T cell receptor activation is essential to enable T cell proteome remodelling upon immune activation.
    1. Evolutionary Biology
    2. Neuroscience

    A novel lineage of candidate pheromone receptors for sex communication in moths

    Lucie Bastin-Héline et al.
    In moths, male receptors tuned to type I female pheromones may not have a monophyletic origin.
    1. Computational and Systems Biology

    Unsupervised machine learning reveals risk stratifying glioblastoma tumor cells

    Nalin Leelatian et al.
    A new automated and unsupervised algorithm, Risk Assessment Population IDentification, identifies risk-stratifying cells in single cell datasets with robust statistical and biological validation.
    1. Computational and Systems Biology
    2. Neuroscience

    A connectome and analysis of the adult Drosophila central brain

    Louis K Scheffer et al.
    New reconstruction methods are used to create a publicly available dense reconstruction of the neurons and chemical synapses of central brain of Drosophila, with analysis of its graph properties.

Refine your results by:

Type
Research categories