321 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

    Local online learning in recurrent networks with random feedback

    James M Murray
    A biologically plausible learning rule enables recurrent neural networks to model the way in which neural circuits use supervised learning to perform time-dependent computations.
    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. 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. Computational and Systems Biology

    Meta-Research: International authorship and collaboration across bioRxiv preprints

    Richard J Abdill et al.
    An analysis of 67,885 preprints on bioRxiv finds evidence for disparities in international participation that are similar to the disparities found in conventional journals.
    1. Cell Biology
    2. Computational and Systems Biology

    Science Forum: The Human Cell Atlas

    Aviv Regev et al.
    Advances in techniques for analysing single cells and tissues have inspired an international effort to create comprehensive reference maps of all human cells - the fundamental units of life - as a basis for both understanding human health and diagnosing, monitoring and treating disease.
    1. Genetics and Genomics

    Science Forum: The single-cell eQTLGen consortium

    MGP van der Wijst et al.
    The single-cell eQTLGen consortium aims to pinpoint the cellular contexts in which disease-causing genetic variants affect gene expression and its regulation.
    1. Genetics and Genomics
    2. Microbiology and Infectious Disease

    Arrayed CRISPRi and quantitative imaging describe the morphotypic landscape of essential mycobacterial genes

    Timothy J de Wet et al.
    A high-throughput functional genomics approach combining inducible CRISPR-interference and quantitative imaging yields an atlas of 'phenoprints' to guide gene function assignments, identify metabolic pathway-specific morphotypes, and inform antibiotic mechanism-of-action studies.
    1. Ecology
    2. Neuroscience

    BiteOscope, an open platform to study mosquito biting behavior

    Felix JH Hol et al.
    A new tool to visualize blood-feeding mosquitoes in high resolution and quantitatively characterize their behavior sheds light on contact-dependent sensing and blood-feeding dynamics of several medically relevant mosquito species.
    1. Cell Biology
    2. Computational and Systems Biology

    The transcriptomic response of cells to a drug combination is more than the sum of the responses to the monotherapies

    Jennifer EL Diaz et al.
    The transcriptomic profiles of the constituent monotherapies of synergistic drug pairs tend to be correlated and result in novel gene expression in the combinations.

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