@inproceedings{da6d350e3f344e5182744ef1dabad64e,
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",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014 ; Conference date: 02-06-2014 Through 04-06-2014",
year = "2014",
month = jul,
day = "24",
doi = "10.1109/ICCABS.2014.6863929",
language = "English (US)",
series = "2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014",
address = "United States",
}
