In this section
Several of our current PhD candidates and fellow researchers at the Data Science Institute have published, or in the proccess of publishing, papers to present their research.
@inproceedings{El-Shishiny:2006:10.1109/ISCC.2006.100,
author = {El-Shishiny, H and Soliman, THA and Emam, I},
doi = {10.1109/ISCC.2006.100},
pages = {239--244},
title = {Mining drug targets: The challenges and a proposed framework},
url = {http://dx.doi.org/10.1109/ISCC.2006.100},
year = {2006}
}
TY - CPAPER
AB - Drug target identification, being the first phase in drug discovery is becoming an overly time consuming process and in many cases produces inefficient results due to failure of conventional approaches to investigate large scale data. The main goal of this work is to identify drug targets, where there are genes or proteins associated with specific diseases. With the help of Microarray technology, the relationship between biological entities such as protein-protein, gene-gene and related chemical compounds are used as a means to identify drug targets. In this work, we focus on the challenges facing drug target discovery and propose a novel unified framework for mining disease related drug targets. © 2006 IEEE.
AU - El-Shishiny,H
AU - Soliman,THA
AU - Emam,I
DO - 10.1109/ISCC.2006.100
EP - 244
PY - 2006///
SN - 1530-1346
SP - 239
TI - Mining drug targets: The challenges and a proposed framework
UR - http://dx.doi.org/10.1109/ISCC.2006.100
ER -
Data Science Institute
William Penney Laboratory
Imperial College London
South Kensington Campus
London SW7 2AZ
United Kingdom
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