CrossRef Text and Data Mining
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Effect of Normalization on Detection of Differentially-Expressed Genes with Moderate Effects.
Seoae Cho, Eunjee Lee, Youngchul Kim, Taesung Park
Genomics Inform. 2007;5(3):118-123.

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TVScript: A Tool for Exploring the Effects of Intra-Condition Variation on the Detection of Differentially Expressed Genes
. 2021;   Crossref logo
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Profound Effect of Profiling Platform and Normalization Strategy on Detection of Differentially Expressed MicroRNAs – A Comparative Study
PLoS ONE. 2012;7(6):e38946   Crossref logo

Analysis of Differentially Expressed Genes
Microarray Bioinformatics. 2003;110-138   Crossref logo

TECHNICAL ADVANCE: EVE (external variance estimation) increases statistical power for detecting differentially expressed genes
The Plant Journal. 2007;52(3):561-569   Crossref logo
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Selection of reference genes for normalization of qRT-PCR analysis of differentially expressed genes in soybean exposed to cadmium
Molecular Biology Reports. 2011;39(2):1585-1594   Crossref logo
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Improved Detection of Differentially Expressed Genes Through Incorporation of Gene Locations
Biometrics. 2009;65(3):805-814   Crossref logo
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Detection of differentially expressed genes in discrete single‐cell RNA sequencing data using a hurdle model with correlated random effects
Biometrics. 2019;75(4):1051-1062   Crossref logo
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Detection of differentially expressed genes following NSAID treatment of colorectal cancer cells
Gastroenterology. 2000;118(4):A286-A287   Crossref logo
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Estimating Effect Sizes of Differentially Expressed Genes for Power and Sample-Size Assessments in Microarray Experiments
Biometrics. 2011;67(4):1225-1235   Crossref logo
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Microarray data quality control improves the detection of differentially expressed genes
Genomics. 2010;95(3):138-142   Crossref logo
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