Poster: Context-sensitive use of bioinformatics tools with complementary functionalities for hypothesis generation

Vida Abedi; Mohammed Yeasin; Ramin Zand

doi:10.1109/ICCABS.2014.6863929

Poster: Context-sensitive use of bioinformatics tools with complementary functionalities for hypothesis generation

Vida Abedi
, Mohammed Yeasin
, Ramin Zand

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Bioinformatics tools can be of great help in mining and summarizing voluminous data. However, such tools are usually ineffective in dealing with heterogeneous data and have a limited array of functionalities. Integrated Bioinformatics tools with complementary functionalities (IBTCF) can potentially further knowledge discovery. In this paper, we have used a progressive IBTCF that infer complementary information from the literature, high throughput genomic data and the human curated Gene Ontology classification. Empirical analyses were performed to find an associations between Alzheimer's disease and Tuberculosis, two seemingly disconnected diseases. The origin for this association is believed to be through matrix metalloproteinases (MMP) genes and their mode of action. The integrated system may also further multi-faceted issues in knowledge discovery.

Original language	English (US)
Title of host publication	2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479957866
DOIs	https://doi.org/10.1109/ICCABS.2014.6863929
State	Published - Jul 24 2014
Event	2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014 - Miami, United States Duration: Jun 2 2014 → Jun 4 2014

Publication series

Name	2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014

Conference

Conference	2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014
Country/Territory	United States
City	Miami
Period	6/2/14 → 6/4/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Biomedical Engineering
Health Informatics

Access to Document

10.1109/ICCABS.2014.6863929

Cite this

Abedi, V., Yeasin, M., & Zand, R. (2014). Poster: Context-sensitive use of bioinformatics tools with complementary functionalities for hypothesis generation. In 2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014 Article 6863929 (2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCABS.2014.6863929

Abedi, Vida ; Yeasin, Mohammed ; Zand, Ramin. / Poster : Context-sensitive use of bioinformatics tools with complementary functionalities for hypothesis generation. 2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014. Institute of Electrical and Electronics Engineers Inc., 2014. (2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014).

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title = "Poster: Context-sensitive use of bioinformatics tools with complementary functionalities for hypothesis generation",

abstract = "Bioinformatics tools can be of great help in mining and summarizing voluminous data. However, such tools are usually ineffective in dealing with heterogeneous data and have a limited array of functionalities. Integrated Bioinformatics tools with complementary functionalities (IBTCF) can potentially further knowledge discovery. In this paper, we have used a progressive IBTCF that infer complementary information from the literature, high throughput genomic data and the human curated Gene Ontology classification. Empirical analyses were performed to find an associations between Alzheimer's disease and Tuberculosis, two seemingly disconnected diseases. The origin for this association is believed to be through matrix metalloproteinases (MMP) genes and their mode of action. The integrated system may also further multi-faceted issues in knowledge discovery.",

author = "Vida Abedi and Mohammed Yeasin and Ramin Zand",

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Abedi, V, Yeasin, M & Zand, R 2014, Poster: Context-sensitive use of bioinformatics tools with complementary functionalities for hypothesis generation. in 2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014., 6863929, 2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014, Institute of Electrical and Electronics Engineers Inc., 2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014, Miami, United States, 6/2/14. https://doi.org/10.1109/ICCABS.2014.6863929

Poster: Context-sensitive use of bioinformatics tools with complementary functionalities for hypothesis generation. / Abedi, Vida; Yeasin, Mohammed; Zand, Ramin.
2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014. Institute of Electrical and Electronics Engineers Inc., 2014. 6863929 (2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Poster

T2 - 2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014

AU - Abedi, Vida

AU - Yeasin, Mohammed

AU - Zand, Ramin

PY - 2014/7/24

Y1 - 2014/7/24

N2 - Bioinformatics tools can be of great help in mining and summarizing voluminous data. However, such tools are usually ineffective in dealing with heterogeneous data and have a limited array of functionalities. Integrated Bioinformatics tools with complementary functionalities (IBTCF) can potentially further knowledge discovery. In this paper, we have used a progressive IBTCF that infer complementary information from the literature, high throughput genomic data and the human curated Gene Ontology classification. Empirical analyses were performed to find an associations between Alzheimer's disease and Tuberculosis, two seemingly disconnected diseases. The origin for this association is believed to be through matrix metalloproteinases (MMP) genes and their mode of action. The integrated system may also further multi-faceted issues in knowledge discovery.

AB - Bioinformatics tools can be of great help in mining and summarizing voluminous data. However, such tools are usually ineffective in dealing with heterogeneous data and have a limited array of functionalities. Integrated Bioinformatics tools with complementary functionalities (IBTCF) can potentially further knowledge discovery. In this paper, we have used a progressive IBTCF that infer complementary information from the literature, high throughput genomic data and the human curated Gene Ontology classification. Empirical analyses were performed to find an associations between Alzheimer's disease and Tuberculosis, two seemingly disconnected diseases. The origin for this association is believed to be through matrix metalloproteinases (MMP) genes and their mode of action. The integrated system may also further multi-faceted issues in knowledge discovery.

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M3 - Conference contribution

AN - SCOPUS:84908577794

T3 - 2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014

BT - 2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 2 June 2014 through 4 June 2014

ER -

Abedi V, Yeasin M, Zand R. Poster: Context-sensitive use of bioinformatics tools with complementary functionalities for hypothesis generation. In 2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014. Institute of Electrical and Electronics Engineers Inc. 2014. 6863929. (2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014). doi: 10.1109/ICCABS.2014.6863929

Poster: Context-sensitive use of bioinformatics tools with complementary functionalities for hypothesis generation

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

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Cite this