miRNA normalization enables joint analysis of several datasets to increase sensitivity and to reveal novel miRNAs differentially expressed in breast cancer.

miRNA normalization enables joint analysis of several datasets to increase sensitivity and to reveal novel miRNAs differentially expressed in breast cancer.

Different miRNA profiling protocols and technologies introduce differences in the resulting quantitative expression profiles. These include differences in the presence (and measurability) of certain miRNAs. We present and examine a method based on quantile normalization, Adjusted Quantile Normalizat...

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Bibliographic Details
Main Authors: Shay Ben-Elazar, Miriam Ragle Aure, Kristin Jonsdottir, Suvi-Katri Leivonen, Vessela N Kristensen, Emiel A M Janssen, Kristine Kleivi Sahlberg, Ole Christian Lingjærde, Zohar Yakhini
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-02-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1008608

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https://doi.org/10.1371/journal.pcbi.1008608

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