Journal of
Systemics, Cybernetics and Informatics
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ISSN: 1690-4524 (Online)


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Editorial Advisory Board's Chair
William Lesso

Editor-in-Chief
Nagib C. Callaos


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The International Institute of
Informatics and Systemics

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Effect of Flow on Cultured Cell at Micro-Pattern of Ridge Lines
Haruka Hino, Shigehiro Hashimoto, Yusuke Shinozaki, Hiromi Sugimoto, Yusuke Takahashi
(pages: 1-7)

Bridging the Semantic and Lexical Webs: Concept-Validating and Hypothesis-Exploring Ontologies for the Nexus-PORTAL-DOORS System
Adam Craig, Seung-Ho Bae, Carl Taswell
(pages: 8-13)

The Learning Science through Theatre Initiative in the Context of Responsible Research and Innovation
Zacharoula Smyrnaiou, Elena Georgakopoulou, Menelaos Sotiriou, Sofoklis Sotiriou
(pages: 14-22)

Perceptions and Preferences of High School Students in STEM: A Case Study in Connecticut and Mississippi
Bin (Brenda) Zhou, Clifford Anderson, Feng Wang, Lin Li
(pages: 23-26)

A Study on the Meaning of the ‘Lifelong Learning to Be’ Implicated in the Philosophy of Nietzsche
Kwanchun Lee, Soo Yeon Choi, Un Shil Choi
(pages: 27-32)

Barriers to Social Innovation and Ways of Overcoming them in Latvia
Karine Oganisjana, Yuliya Eremina, Salome Gvatua, Benjamin Ngongo Kabwende, Ozoemena Joseph Chukwu
(pages: 33-38)

Unmanned Aerial Vehicle-Based Automobile License Plate Recognition System for Institutional Parking Lots
Julian Dasilva, Ricardo Jiménez, Roland Schiller, Sanja Zivanovic González
(pages: 39-43)

Dialectal Atlas of the Arab World - between Intention and Reality
Oleg Redkin, Olga Bernikova
(pages: 44-47)

IT Risk and Chaos Theory: Effect on the Performance of South African SMEs
Anass Bayaga, Stephen Flowerday, Liezel Cilliers
(pages: 48-53)

How to Apply the User Profile Usability Technique in the User Modelling Activity for an Adaptive Food Recommendation System for People on Special Diets
Lucrecia Llerena, Nancy Rodríguez, Pablo Gómez-Abajo, John W. Castro
(pages: 54-63)

Policies, Legislation and Regulatory Compliance Governance Impact on Strategic Management of Higher Education and Research Institutions in Latvia
Anita Straujuma, Inga Lapina, Elina Gaile-Sarkane, Modris Ozolins
(pages: 64-69)

Parallel Prediction of Stock Volatility
Priscilla Jenq, John Jenq
(pages: 70-73)

Hacking a Bridge: An Exploratory Study of Compliance-Based Information Security Management in Banking Organization
Tesleem Fagade, Theo Tryfonas
(pages: 74-80)

Improvement in the Physical and Psychological Well-Being of Persons with Spinal Cord Injuries by Means of Powered Wheelchairs Driven by Dual Power Wheels and Mobile Technologies
Yee-Pien Yang, Li-Jen Weng, Ye-Yu Yeh, Hui-Fen Mao, Ray-I. Chang
(pages: 81-87)

Data Mediation with Enterprise Level Security
Kevin E. Foltz, William R. Simpson
(pages: 88-93)


 

Abstracts

 


ABSTRACT


GEGEINTOOL: A Computer-Based Tool for Automated Analysis of Gene-Gene Interactions in Large Epidemiological Studies in Cardiovascular Genomics

Oscar Coltell, José M. Ordovás, Carmen Saiz, Manuel Forner, Francisco Gabriel, Dolores Corella


Current methods of data analysis of gene-gene interactions in complex diseases, after taking into account environmental factors using traditional approaches, are inefficient. High-throughput methods of analysis in large scale studies including thousands of subjects and hundreds of SNPs should be implemented. We developed an integrative computer tool, GEGEINTOOL (GEne- GEne INTeraction tOOL), for large-scale analysis of gene-gene interactions, in human studies of complex diseases including a large number of subjects, SNPs, as well as environmental factors. That resource uses standard statistical packages (SPSS, etc.) to build and fit the gene-gene interaction models by means of syntax scripts in predicting one or more continuous or dichotomic phenotypes. Codominant, dominant and recessive genetic interaction models including control for covariates are automatically created for each SNP in order to test the best model. From the standard outputs, GEGEINTOOL extracts a selected set of parameters (regression coefficients, p-values, adjusted means, etc.), and groups them in a single MS Excel Spreadsheet. The tool allows editing the set of filter parameters, filtering the selected results depending on p-values, as well as plotting the selected gene-gene interactions to check consistency. In conclusion, GEGEINTOOL is a useful and friendly tool for exploring and identifying gene-gene interactions in complex diseases.

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