A Comprehensive Model for Separating Systematic Bias and Noise in Metabolomic Timecourse Data—A Nonlinear B‐Spline Mixed‐Effects Approach
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DOI: 10.1002/bit.29008
Abstract: The simultaneous detection of tens to hundreds of metabolites in a single metabolomic timecourse sample offers a unique but often unrealized opportunity for quantification validation. An individual timecourse fit for each metabolite fundamentally convolutes measurement… read more here.
Keywords: nonlinear spline; systematic bias; culture; timecourse ... See more keywords