A new computational approach has been developed to reduce variability in common research biomarker tests, a promising step in improving the ability of biomedical researchers and basic scientists to reproduce data and facilitate more consistent results across laboratories and long-term projects.
New software aims to reduce variability in ELISA biomarker tests
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