Conference proceeding
Content based searching of gene expression databases using binary fingerprints of differential expression profiles
2012 7th International Symposium on Health Informatics and Bioinformatics, pp 107-113
Apr 2012
Abstract
Microarray technologies are commonly used for large scale measurement of gene expression. Microarray studies reveal information between different biological processes and produce hypotheses for further investigation. Availability and rapid growth of microarray databases has made integrated analysis of these databases computationally challenging. We present a new approach to content based searching in microarray databases, using a binary fingerprint approach that is inspired from the chemoinformatics field. Differential expression profiles are represented in concise bit vectors to allow rapid comparison of microarray experiments using bit-wise operations. We demonstrate that the fingerprint representation provides fast search times, while preserving accuracy when compared to the more commonly used correlation-based metrics.
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6 citations in Scopus
Details
- Title
- Content based searching of gene expression databases using binary fingerprints of differential expression profiles
- Creators
- F Bell - Biomed. Eng., Sci. & Health Syst., Drexel Univ., Philadelphia, PA, USAA Sacan - Drexel University
- Publication Details
- 2012 7th International Symposium on Health Informatics and Bioinformatics, pp 107-113
- Conference
- 2012 7th International Symposium on Health Informatics and Bioinformatics, 7th
- Publisher
- IEEE
- Number of pages
- 1
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Scopus ID
- 2-s2.0-84862727688
- Other Identifier
- 991019173639504721