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Length Bias Correction in Gene Ontology Enrichment Analysis Using Logistic Regression

Creator:

Mi, Gu, Di, Yanming, Emerson, Sarah, Cumbie, Jason S., and Chang, Jeff H.

Abstract:

When assessing differential gene expression from RNA sequencing data, commonly used statistical tests tend to have greater power to detect differential expression of genes encoding longer transcripts. This phenomenon, called "length bias", will influence subsequent analyses such as Gene Ontology enrichment analysis. In the presence of length bias, Gene Ontology...

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Enrichment Analysis Using Logistic Regression Gu Mi1*, Yanming Di1,2, Sarah Emerson1, Jason S. Cumbie2,3
The Genome of Tolypocladium inflatum: Evolution, Organization, and Expression of the Cyclosporin Biosynthetic Gene Cluster

Creator:

Bushley, Kathryn E., Raja, Rajani, Jaiswal, Pankaj, Cumbie, Jason S., Nonogaki, Mariko, Boyd, Alexander E., Owensby, C. Alisha, Knaus, Brian J., Elser, Justin, Miller, Daniel, Di, Yanming, McPhail, Kerry L., and Spatafora, Joseph W.

Abstract:

The ascomycete fungus Tolypocladium inflatum, a pathogen of beetle larvae, is best known as the producer of the immunosuppressant drug cyclosporin. The draft genome of T. inflatum strain NRRL 8044 (ATCC 34921), the isolate from which cyclosporin was first isolated, is presented along with comparative analyses of the biosynthesis of...

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Article

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*, Rajani Raja1, Pankaj Jaiswal1, Jason S. Cumbie1, Mariko Nonogaki2, Alexander E. Boyd3, C. Alisha

ScholarsArchive@OSU

Length Bias Correction in Gene Ontology Enrichment Analysis Using Logistic Regression

The Genome of Tolypocladium inflatum: Evolution, Organization, and Expression of the Cyclosporin Biosynthetic Gene Cluster

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