5,333 results found
  1. Philosophy of Biology: The challenges of big data biology

    Sabina Leonelli
    Understanding how data were collected and processed is an essential element of big data biology.
    1. Human Biology and Medicine
    2. Neuroscience

    A big-data approach to understanding metabolic rate and response to obesity in laboratory mice

    June K Corrigan et al.
    The metabolic rate of mice is disproportionately affected by the site of experimentation, affecting the phenotypic interpretation of genetically modified strains.
    1. Human Biology and Medicine

    Adverse Drug Reactions: The benefits of data mining

    Audrey Bone, Keith Houck
    Careful analysis of a database populated by physicians and patients sheds new light on the side effects of drugs.
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    1. Neuroscience

    Imaging: The many facets of brain aging

    Lars Nyberg, Anders Wåhlin
    Applying big-data analytic techniques to brain images from 18,707 individuals is shedding light on the influence of aging on the brain.
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    1. Epidemiology and Global Health

    Vitamin A supplements, routine immunization, and the subsequent risk of Plasmodium infection among children under 5 years in sub-Saharan Africa

    Maria-Graciela Hollm-Delgado et al.
    An analysis of national survey data shows that vitamin A might protect against malaria infection, an effect potentially modified by seasonality, and that no routine vaccinations were linked to parasitemia, though BCG vaccination was associated with PfHRP-2 antigenemia.
    1. Neuroscience

    Cortical network architecture for context processing in primate brain

    Zenas C Chao et al.
    Large-scale electrocorticography and big data analysis of brain-wide neuronal interactions reveal the architecture of network information flow for context processing in primate brain.
    1. Human Biology and Medicine

    Reverse translation of adverse event reports paves the way for de-risking preclinical off-targets

    Mateusz Maciejewski et al.
    Careful analysis of adverse drug reaction reports reveals noise and biases embedded in this data and allows for systematic mitigation of these effects to produce much more robust understanding of side effects of marketed drugs.

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