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Filtering by: Funding statement The project described was supported by Award Number R21CA139147 from the National Cancer Institute at the National Institutes of Health. License Attribution 3.0 United States

Assessing Research Data Management Practices of Faculty at Carnegie Mellon University

Creator:

Van Tuyl, Steve, Michalek, Gabrielle, and Van Tuyl, Steven

Abstract:

INTRODUCTION: Recent changes to requirements for research data management by federal granting agencies and by other funding institutions have resulted in the emergence of institutional support for these requirements. At CMU, we sought to formalize assessment of research data management practices of researchers at the institution by launching a faculty...

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practices of researchers at the institution by launching a faculty survey and conducting a number of
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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Article

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Sciences of the National Institutes of Health under Award Number R01GM104977. The content is solely the

ScholarsArchive@OSU

Assessing Research Data Management Practices of Faculty at Carnegie Mellon University

Length Bias Correction in Gene Ontology Enrichment Analysis Using Logistic Regression

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