Publication Type : Conference Paper
Publisher : 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI).
Source : 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (2016)
Url : http://ieeexplore.ieee.org/abstract/document/7732164/
Keywords : Algorithm design and analysis, Convergence, Diseases, gene prioritization algorithms, genetic diseases, genetics, genome-wide association studies, GWAS, Informatics, Kernel, medical informatics, power method steady state scores, PPI networks, Proteins, Steady-state, weighted PPIN, weighted protein-protein interaction network
Campus : Amritapuri
School : School of Engineering
Department : Computer Science
Year : 2016
Abstract : The undiscovered genes that contribute to a particular disease are of great interest in medical informatics. The candidate pool of such genes from GWAS or similar studies is typically vast. A direct experimental verification all such genes is prohibitively expensive in terms of time and money. In order to limit the number of candidates for experimental verification, numerous computational methods have been developed. One of the most widely used technique applies gene prioritization(GP) algorithms on a weighted protein-protein interaction network (PPIN). We analyzed the popular GP algorithms in semiautomatic manner. The idea is to study their behavior, rank them and attempt to improve their performance by modifying them. Additionally, we derived an expression for the steady state scores of the power method.
Cite this Research Publication : K. P. Sinsha and Dr. Bhadrachalam Chitturi, “A study of gene prioritization algorithms on PPI networks”, in 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2016.