18 citations · 23 across the 4 of their papers we have counts for
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q-bio.QM2018★ 1 cited
Loss-function learning for digital tissue deconvolution
Franziska Görtler, Stefan Solbrig, Tilo Wettig +3
The gene expression profile of a tissue averages the expression profiles of all cells in this tissue. Digital tissue deconvolution (DTD) addresses the following inverse problem: Gi…
q-bio.QM2017★ 18 cited
Scale-invariant biomarker discovery in urine and plasma metabolite fingerprints
Helena U. Zacharias, Thorsten Rehberg, Sebastian Mehrl +6
Motivation: Metabolomics data is typically scaled to a common reference like a constant volume of body fluid, a constant creatinine level, or a constant area under the spectrum. Su…