NEW YORK (GenomeWeb) – Progress has been made over the past few years on improving the statistical design of proteomics experiments, but the area remains a sticking point for the field, according to several leading researchers.

Issues like small sample cohorts and the use of inappropriate statistical analyses call into question the robustness of some proteomic studies, they said, which can lead to overconfidence in reported results and poor reproducibility down the road.

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A new study in JAMA finds that genetic tests might not be able to determine what diet is right for someone seeking to lose weight.

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