Associating gene functional groups with multiple clinical conditions using Jaccard similarity

Noha A. Yousri, Dalal M. Elkaffash

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Gene expression arrays provide a rich source of information on the behaviour of thousands of genes for several clinical conditions in a particular tumor/cancer. Such expression sets when integrated with functional classification of genes enrich information provided from both sources. Stemming from the need to score relations between functional groups of genes and multiple clinical types associated with a tumor, this study proposes to use Jaccard similarity. For any set of genes, this measure can be used to measure the association between two sets of gene classes/groups, obtained from two different sources of information. In the proposed study, we particularly consider subsets of overexpressing genes in cancer expression sets. This enables the identification of unique genes and associate their most correlated sample clinical types to their functional groups. Experiments on a breast cancer expression set are done to illustrate the use of the proposed measure.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011
Pages241-246
Number of pages6
DOIs
Publication statusPublished - 1 Dec 2011
Event2011 IEEE International Conference onBioinformatics and Biomedicine Workshops, BIBMW 2011 - Atlanta, GA, United States
Duration: 12 Nov 201115 Nov 2011

Publication series

Name2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011

Other

Other2011 IEEE International Conference onBioinformatics and Biomedicine Workshops, BIBMW 2011
CountryUnited States
CityAtlanta, GA
Period12/11/1115/11/11

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ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Yousri, N. A., & Elkaffash, D. M. (2011). Associating gene functional groups with multiple clinical conditions using Jaccard similarity. In 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011 (pp. 241-246). [6112381] (2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011). https://doi.org/10.1109/BIBMW.2011.6112381