710 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

    Unsupervised changes in core object recognition behavior are predicted by neural plasticity in inferior temporal cortex

    Xiaoxuan Jia et al.
    Temporal continuity-induced plasticity in individual neurons of inferior temporal cortex builds neural representations that underlie robust core object recognition behavior.
    1. Cancer Biology

    Supervised mutational signatures for obesity and other tissue-specific etiological factors in cancer

    Bahman Afsari et al.
    A supervised methodology for mutational signatures outperforms the current standard unsupervised approach revealing new tissue-dependent mutational signatures among which some for obesity.
    1. Neuroscience

    Unsupervised discovery of temporal sequences in high-dimensional datasets, with applications to neuroscience

    Emily L Mackevicius et al.
    Building on simple unsupervised matrix factorization techniques, the seqNMF algorithm successfully recovers neural sequences in a wide range of simulated and real datasets.
    1. Neuroscience

    DeepEthogram, a machine learning pipeline for supervised behavior classification from raw pixels

    James P Bohnslav et al.
    DeepEthogram automatically classifies animal behavior videos into researcher-defined behaviors of interest, saving researcher time and enabling more detailed downstream analysis of behavior.
    1. Neuroscience

    Temporal chunking as a mechanism for unsupervised learning of task-sets

    Flora Bouchacourt et al.
    Model-based analyses of human behaviour and neural activity show that representations of concurrent task-sets emerge by merging together representations of individual stimulus-response associations that occur in temporal proximity.
    1. Computational and Systems Biology
    2. Immunology and Inflammation

    Unsupervised machine learning reveals key immune cell subsets in COVID-19, rhinovirus infection, and cancer therapy

    Sierra M Barone et al.
    Rare, virus-specific immune cells in human blood are automatically identified by machine learning algorithm T-REX and characterized for signature features needed for tracking and isolation.
    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.
    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. Developmental Biology

    Functional genome-wide siRNA screen identifies KIAA0586 as mutated in Joubert syndrome

    Susanne Roosing et al.
    A supervised learning approach on a high-content genome-wide siRNA screen has identified 591 likely candidates for ciliopathies and facilitated in the discovery of KIAA0586 mutations in individuals with Joubert syndrome.

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