Projects per year
Abstract
Differential gene expression analysis may discover a set of genes too large to easily investigate, so a means of ranking genes by biological interest level is desired. p values are frequently abused for this purpose. As an alternative, we propose a method of ranking by confidence bounds on the log fold change, based on the previously developed TREAT test. These confidence bounds provide guaranteed false discovery rate and false coverage-statement rate control. When applied to a breast cancer dataset, the top-ranked genes by Topconfects emphasize markedly different biological processes compared to the top-ranked genes by p value.
Original language | English |
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Article number | 67 |
Number of pages | 12 |
Journal | Genome Biology |
Volume | 20 |
Issue number | 1 |
DOIs | |
Publication status | Published - 28 Mar 2019 |
Keywords
- Confidence interval
- Differential expression analysis
- False coverage-statement rate
- False discovery rate
- RNA-Seq
- TREAT
Projects
- 3 Finished
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The mechanism and function of 3'UTR switching in eukaryotic cells
Australian Research Council (ARC), Monash University
1/03/17 → 31/12/19
Project: Research
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An investigation into the role of 3'UTR dynamics in breast cancer metastasis
Beilharz, T., Simpson, K. J. & Powell, D.
National Health and Medical Research Council (NHMRC) (Australia)
1/01/17 → 31/12/19
Project: Research
Equipment
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Bioinformatics Platform
Deanna Deveson (Manager)
Faculty of Medicine Nursing and Health Sciences Research PlatformsFacility/equipment: Facility