Now showing items 1-10 of 11
Realizing drug repositioning by adapting a recommendation system to handle the process
(BioMed Central Ltd., 2018-04-12)
Background: Drug repositioning is the process of identifying new targets for known drugs. It can be used to overcome problems associated with traditional drug discovery by adapting existing drugs to treat new discovered ...
Classification of HIV data By Constructing A Social Network with Frequent Itemsets
Acquired immune deficiency syndrome (AIDS) is the last and the most life-threatening phase of Human Immunodeficiency Virus (HIV) disease. HIV attacks and heavily affects the immune system of the body which remains unable ...
Multi-Scale Modularity and Motif Distributional Effect in Metabolic Networks
(BENTHAM Science Publ. Ltd., 2016)
Metabolism is a set of fundamental processes that play important roles in a plethora of biological and medical contexts. It is understood that the topological information of reconstructed metabolic networks, such as modular ...
Effective gene expression data generation framework based on multi-model approach
Objective: Overcome the lack of enough samples in gene expression data sets having thousands of genes but a small number of samples challenging the computational methods using them. Methods and material: This paper introduces ...
Reporting and analyzing alternative clustering solutions by employing multi-objective genetic algorithm and conducting experiments on cancer data
Clustering is an essential research problem which has received considerable attention in the research community for decades. It is a challenge because there is no unique solution that fits all problems and satisfies all ...
Complex networks driven salient region detection based on superpixel segmentation
(Elsevier Science Ltd., 2017-06)
In this paper, we propose an efficient method for salient region detection. First, the image is decomposed by using superpixel segmentation which groups similar pixels and generates compact regions. Based upon the generated ...
Utilizing maximal frequent itemsets and social network analysis for HIV data analysis
(Biomed Central Ltd., 2016-12-09)
Acquired immune deficiency syndrome is a deadly disease which is caused by human immunodeficiency virus (HIV). This virus attacks patients immune system and effects its ability to fight against diseases. Developing effective ...
Social network Analysis-based classifier (SNAc): A case study on time course gene expression data
(Elsevier Ireland Ltd., 2017-10)
Background and objectives: Social Network Analysis is an attractive approach to model and analyze complex networks. In recent years, several bioinformatics related networks have been modeled and analyzed thoroughly using ...
Correction to: Realizing drug repositioning by adapting a recommendation system to handle the process (vol 19, 136, 2018)
Following publication of the original article , the authors reported that there was an error in the spelling of the name of one of the authors. © 2018 The Author(s).
NetDriller Version 2: A Powerful Social Network Analysis Tool
(IEEE Computer Society, 2018)
Social network analysis has gained considerable attention since Web 2.0 emerged and provided the ground for two-ways interaction platforms. The immediate outcome is the availability of raw datasets which reflect social ...