Normalization RNA-SEQ towards the improvement of Gene expression signatures

Update Item Information
Title Normalization RNA-SEQ towards the improvement of Gene expression signatures
Publication Type dissertation
School or College School of Computing
Department Computing
Author Tran, Deim-Trang Thi
Date 2022
Description RNA-sequencing (RNA-seq) is a powerful experimental technique to study biological systems. However, the processing and analysis of RNA-seq data remain challenging. Among the challenges, the problem of between-sample normalization has been identified and addressed for more than a decade, resulting in dozens of normalizers, yet with little consensus in how their performance should be measured. In addition, most contemporary normalizers rely on assumptions that have become outdated with the expansion of RNA-seq data analysis. In this dissertation, I contributed to the improvement of RNA-seq normalization in three ways. First, I proposed a ground-truth based metric to assess normalizer performance, and provided an extensive collection of experimental data sets to serve as a benchmark. Second, using this benchmarking toolset, I explored the effects of normalization on downstream analysis in a more systematic manner. Third, I introduced a new normalization method that overcomes the reliance on outdated assumptions of the existing ones
Type Text
Publisher University of Utah
Dissertation Name Doctor of Philosophy
Language eng
Rights Management (c) Diem-Trang Thi Tran
Format application/pdf
Format Medium application/pdf
ARK ark:/87278/s68bhqfg
Setname ir_etd
ID 1764248
Reference URL https://collections.lib.utah.edu/ark:/87278/s68bhqfg
Back to Search Results