2,720 results found
    1. Cancer Biology
    2. Computational and Systems Biology

    Simultaneous enumeration of cancer and immune cell types from bulk tumor gene expression data

    Julien Racle et al.
    A novel method predicts cancer and immune cell types from bulk tumor gene expression data with the ability to consider uncharacterized and possibly highly variable cell types, which is validated in human genome.
  1. Tutorial: How to draw the line in biomedical research

    Lisa Huang et al.
    When analysing the data in a two-dimensional scatter plot, researchers should consider plotting the three regression lines that can be calculated for such a plot.
    1. Evolutionary Biology
    2. Genetics and Genomics

    Population Genetics: Why structure matters

    Nick Barton et al.
    Great care is needed when interpreting claims about the genetic basis of human variation based on data from genome-wide association studies.
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  2. Philosophy of Biology: Philosophical bias is the one bias that science cannot avoid

    Fredrik Andersen et al.
    Scientists should be aware of the non-empirical assumptions that influence all kinds of research.
  3. Point of View: Overflow in science and its implications for trust

    Sabina Siebert et al.
    Interviews with senior biomedical researchers reveal a perceived decline in trust in the scientific enterprise, in large part because the quantity of new data exceeds the field's ability to process it appropriately.
    1. Computational and Systems Biology

    Cutting Edge: Anatomy of BioJS, an open source community for the life sciences

    Guy Yachdav et al.
    Community nurturing is the single most important factor in determining the sustainability of an open source project such as BioJS.
    1. Computational and Systems Biology

    Meta-Research: Centralized scientific communities are less likely to generate replicable results

    Valentin Danchev et al.
    Analysis of data on drug-gene interactions suggests that decentralized collaboration will increase the robustness of scientific findings in biomedical research.

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