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Clyde Bailey

dblp:95/6162 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2002
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 62% Medical and health informatics · 38%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Medical and health informatics › clinical informatics
clinical data management
0.012002
CGO: utilizing and integrating gene expression microarray data in clinical research and data management · Bioinform. 2002
Bioinformatics and computational biology › multi-omics data integration
gene expression data integration
0.012002
CGO: utilizing and integrating gene expression microarray data in clinical research and data management · Bioinform. 2002
Bioinformatics and computational biology
gene expression analysis
0.012002
CGO: utilizing and integrating gene expression microarray data in clinical research and data management · Bioinform. 2002
Bioinformatics and computational biology › gene expression analysis
microarray data analysis
0.012002
CGO: utilizing and integrating gene expression microarray data in clinical research and data management · Bioinform. 2002

Methods — techniques the papers use, named apart from their topics

relational database · 0.0data mining · 0.0
YearPublicationVenuePosition
2002 CGO: utilizing and integrating gene expression microarray data in clinical research and data management
abstract
Abstract Summary: Clinical GeneOrganizer (CGO) is a novel windows-based archiving, organization and data mining software for the integration of gene expression profiling in clinical medicine. The program implements various user-friendly tools and extracts data for further statistical analysis. This software was written for Affymetrix GeneChip©*.txt files, but can also be used for any other microarray-derived data. The MS-SQL server version acts as a data mart and links microarray data with clinical parameters of any other existing database and therefore represents a valuable tool for combining gene expression analysis and clinical disease characteristics. Availability: The software is available free of charge at http://lambertlab.uams.edu Contact: [email protected] Supplementary information: A snapshot of detailed program-specific table relationships and information on other programs including various cancer gene expression profiles are available on above mentioned web site. * To whom correspondence should be addressed.
Klaus Bumm, Mingzhong Zheng, Clyde Bailey, Fenghuang Zhan, M. Chiriva-Internati, Paul Eddlemon, Julian Terry, Bart Barlogie, John D. Shaughnessy Jr.
Bioinform.3