323 results found
    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. Neuroscience

    Whole-organism behavioral profiling reveals a role for dopamine in state-dependent motor program coupling in C. elegans

    Nathan Cermak et al.
    Simultaneous quantification of each of the main motor programs in the roundworm C. elegans yields new insights into the neural mechanisms that coordinate animal behavior.
    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

    Analysis of ultrasonic vocalizations from mice using computer vision and machine learning

    Antonio HO Fonseca et al.
    An open-source tool based on computational vision and machine learning shows high accuracy and sensitivity in the analysis of ultrasonic vocalizations.
    1. Computational and Systems Biology
    2. Epidemiology and Global Health

    Linking glycemic dysregulation in diabetes to symptoms, comorbidities, and genetics through EHR data mining

    Isa Kristina Kirk et al.
    Text mining of complete EHRs for 14,017 diabetes patients and subsequent clustering led to phenotypically deep clusters, showing distinct glycemic profiles, comorbidities, and SNP association patterns.
    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

    anTraX, a software package for high-throughput video tracking of color-tagged insects

    Asaf Gal et al.
    anTraX is an algorithm and software package that facilitates automated analyses of insect social behavior in species and experimental settings that are not accessible with currently existing technology.
    1. Genetics and Genomics
    2. Microbiology and Infectious Disease

    A phylogenetic transform enhances analysis of compositional microbiota data

    Justin D Silverman et al.
    The PhILR transform uses an evolutionary model to overcome statistical challenges associated with microbiota surveys.
    1. Neuroscience

    Automatic discovery of cell types and microcircuitry from neural connectomics

    Eric Jonas, Konrad Kording
    An algorithm for analysing brain connectivity data identifies cell types and connections in simple (C. elegans) and complex (mouse) nervous systems, and can even resolve structure and connectivity in a man-made microprocessor.
    1. Neuroscience

    DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila

    Semih Günel et al.
    DeepFly3D, a deep learning-based software, measures limb and appendage movements in tethered, behaving Drosophila and enables precise behavioral measurements during neural recordings, stimulation, and other biological experiments.

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