894 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. Computational and Systems Biology
    2. Neuroscience

    Deep Learning: Tackling the challenges of bioimage analysis

    Daniël M Pelt
    Using multiple human annotators and ensembles of trained networks can improve the performance of deep-learning methods in research.
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    1. Computational and Systems Biology

    Point of View: Data science for the scientific life cycle

    Daphne Ezer, Kirstie Whitaker
    Each stage of the scientific life cycle stands to benefit from the introduction of data science techniques.
    1. Computational and Systems Biology

    Science Forum: Wikidata as a knowledge graph for the life sciences

    Andra Waagmeester et al.
    Wikidata is continuously-updated resource that could improve the efficiency and accuracy of research in many areas of the life and biomedical sciences.
    1. Genetics and Genomics

    Point of View: Bioengineering horizon scan 2020

    Luke Kemp et al.
    20 emerging issues in bioengineering that will have profound impacts on society have been identified.
    1. Ecology

    Point of View: A transatlantic perspective on 20 emerging issues in biological engineering

    Bonnie C Wintle et al.
    Horizon scanning has been used to identify opportunities and risks presented by 20 emerging issues in the field of biological engineering.
    1. Evolutionary Biology
    2. Genetics and Genomics

    Philosophy of Biology: The meanings of 'function' in biology and the problematic case of de novo gene emergence

    Diane Marie Keeling et al.
    A lexicon to help scientists and philosophers discuss the meaning of function in molecular biology more clearly is proposed.
    1. Structural Biology and Molecular Biophysics
    2. Computational and Systems Biology

    Cutting Edge: Building bridges between cellular and molecular structural biology

    Ardan Patwardhan et al.
    The integration of structural data from different imaging scales requires the development of standards and tools for representing the segmentation and transformation of data, and for the annotation of biological structures.

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