A1 Refereed original research article in a scientific journal
Probabilistic Analysis of Probe Reliability in Differential Gene Expression Studies with Short Oligonucleotide Arrays
Authors: Lahti L, Elo LL, Aittokallio T, Kaski S
Publisher: IEEE COMPUTER SOC
Publication year: 2011
Journal: IEEE/ACM Transactions on Computational Biology and Bioinformatics
Journal name in source: IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS
Journal acronym: IEEE ACM T COMPUT BI
Number in series: 1
Volume: 8
Issue: 1
First page : 217
Last page: 225
Number of pages: 9
ISSN: 1545-5963
DOI: https://doi.org/10.1109/TCBB.2009.38
Abstract
Probe defects are a major source of noise in gene expression studies. While existing approaches detect noisy probes based on external information such as genomic alignments, we introduce and validate a targeted probabilistic method for analyzing probe reliability directly from expression data and independently of the noise source. This provides insights into the various sources of probe-level noise and gives tools to guide probe design.
Probe defects are a major source of noise in gene expression studies. While existing approaches detect noisy probes based on external information such as genomic alignments, we introduce and validate a targeted probabilistic method for analyzing probe reliability directly from expression data and independently of the noise source. This provides insights into the various sources of probe-level noise and gives tools to guide probe design.
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