Year: 2004
Type: article
Abstract: BACKGROUND: The development of software tools that analyze microarray data in the context of genetic knowledgebases is being pursued by multiple research groups using different methods. A common problem for many of these tools is how to correct for multiple statistical testing since simple corrections are overly conservative and more sophisticated corrections are currently impractical. A careful study of the nature of the distribution one would expect by chance, such as by a simulation study, may be able to guide the development of an appropriate correction that is not overly time consuming computationally. RESULTS: We present the results from a preliminary study of the distribution one would expect for analyzing sets of genes extracted from Drosophila, S. cerevisiae, Wormbase, and Gramene databases using the Gene Ontology Database. CONCLUSIONS: We found that the estimated distribution is not regular and is not predictable outside of a particular set of genes. Permutation-based simulations may be necessary to determine the confidence in results of such analyses.
Source: BMC Bioinformatics
Authors: Michael V Osier, Hongyu Zhao, Kei-Hoi Cheung
Institutions: Rochester Institute of Technology, Yale University
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,990
Awards: G2574865383, Exploring Approaches for Microarray Databases That Enable Flexible Design and Integrative Analysis, G399281341, Interoperation of Genome Databases and Tools, G7802115405, Statistical and Computational Approaches for Integrated Genomics and Proteomics Analysis and Their Applications to Modeling G1/S Transition During Yeast Cell Cycle, Biomedical Informatics and Data Science Training at Yale, G97012732
OpenAlex ID: W1847694155