= Andreas Schroeder
{c}
\b[Andreas Schroeder] is the first-listed author of the 2006 primary study introducing the <RNA integrity number>. The paper credits him with study design, methodology, experiments, validation, software implementation and manuscript preparation. These documented roles identify his contribution without inferring a later appointment or conflating him with namesakes.<The RIN: an RNA integrity number for assigning integrity values to RNA measurements by Andreas Schroeder and others>[Author byline and Authors’ contributions, initials AS]{ref}
The scientific problem was to make <RNA integrity> assessment more reproducible. An <electropherogram> contains a distribution of RNA fragments rather than a direct yes-or-no intactness reading. The team's approach combined trace features into a learned score; Schroeder contributed to both the experimental work and its software implementation.<The RIN: an RNA integrity number for assigning integrity values to RNA measurements by Andreas Schroeder and others>[Abstract and Authors’ contributions]{ref}
The distinction between total <RNA> and intact <RNA> explains the motivation. Suppose one preparation contains ten strands of 1000 <nucleotides> each. Cleaving every strand once into two 500-nucleotide pieces doubles the number of strands from ten to twenty but leaves the total at 10,000 nucleotides. An analysis requiring an uninterrupted 1000-nucleotide template now fails, even though no nucleotide material has been removed. A distribution-sensitive measurement can expose this change in a way that total amount alone cannot.
A trained integrity score is consequently a measurement model: its features, training labels and validation data determine what its numerical scale supports. The <RNA integrity number> article describes the original apparatus and gives examples distinguishing score, signal amount and prediction error.
Back to article page
