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Zero-Sum Regression Scale Invariant Molecular Data Analysis

Rehberg, Thorsten (2018) Zero-Sum Regression Scale Invariant Molecular Data Analysis. PhD, Universität Regensburg.

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Date of publication of this fulltext: 17 Oct 2018 08:48

Abstract (English)

In biomedicine, it is still an outstanding issue that the absolute scale of omics data gets lost due to technical limitations. This causes that the original scale first has to be approximated by normalization techniques before analysis methods can be applied. However, there are competing normalization strategies based on different assumptions about the structure of the underlying data. Due to ...

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Translation of the abstract (German)

In der Biomedizin besteht noch immer ein Problem darin, dass die absolute Größe von Omics-Daten aufgrund technischer Einschränkungen verloren geht. Daher muss diese zuerst durch Normalisierungsverfahren approximiert werden, bevor Analyseverfahren auf die Daten angewendet werden können. Es existieren jedoch verschiedene Normalisierungsverfahren, welche auf unterschiedlichen Annahmen über die ...

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Item type:Thesis of the University of Regensburg (PhD)
Date:17 October 2018
Referee:Prof. Dr. Elmar Lang
Date of exam:8 October 2018
Institutions:UNSPECIFIED
Related URLs:
URLURL Type
https://github.com/rehbergT/zeroSumSoftware
Keywords:generalized linear regression, omics, machine learning
Dewey Decimal Classification:500 Science > 500 Natural sciences & mathematics
500 Science > 570 Life sciences
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:37841
Owner only: item control page

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