El. knyga: GeNeDis 2022: Computational Biology and Bioinformatics

1-Digging for Significant Genes in Microarray Expression Data Based on
Systematic Sampling and Hierarchal Clustering Algorithm.- 2-A DSS for
predicting Lymphoma in primary Sjogrens Syndrome patients.- 3-Decision
Support System for Breast Cancer Detection Using Biomarker Indicators.-
4-Hepatocellular Carcinoma Detection Using Machine Learning Techniques.-
5-Web-based Decision Support System for Coronary Heart Disease Diagnosis.-
6-A Decision Support System for the Prediction of Drug Predisposition through
Personality Traits.- 7-Development of a diagnostic tool for balance disorders
based on machine learning techniques.- 8-Systems Approaches in the Common
Metabolomics in Acute Lymphoblastic Leukemia and Rhabdomyosarcoma Cells: A
Computational Approach.- 9-Bioinformatics Analyses of Spatial Peripheral
Circadian Clock-Mediated Gene Expression of lucocorticoid Receptor-related
Genes.- 10-Machine Learning for Autistic Spectrum Disorder Risk Screening.-
11-Mobile Application for Monitoring and Preventing Cognitive Decline through
Lifestyle Intervention.- 12-Virtual Reality Zoo Therapy for Alzheimers
Disease Using Real-time Gesture Recognition.- 13-Validation of the Greek
Version of Social Media Disorder Scale.- 14-Adiponectin and its Effects on
Acute Leukemia Cells: An Experimental and Bioinformatics Approach.- 15-Nature
and quantum inspired procedures - a short literature review.- 16-Handling the
cellular complex systems in Alzheimers disease through a graph mining
approach.- 17-Debunking the neuromyth of learning style.- 18-Expert
characteristics: implications for expert systems.- 19-Improving the Run-Time
of Space E cient n-gram Data Structures using Apache Spark.- 20-Development
of a protein biochip platform for Parkinsons disease.- 21-The Cultural
adaptation of the iSupportDementia in Greece.- 22-The use of data collection
and big data analysis in Neurodegenerative disease prevention.- 23-Fractal
Dynamics in the RR Interval of Craniopharyngioma and Adrenal Tumor in
Adolescence.- 24-Bioinformatics approaches for Parkinsons disease in
clinical practice: Data- driven biomarkers and pharmacological treatment.-
25-Emerging Machine Learning techniques for modelling cellular complex
systems in Alzheimers disease.- 26-Cognitive Enhancement Through
Mathematical Problem Solving.- 27-Cognitive tasks of an information system
for memory training and cognitive enhancement using mobile devices.- 28-An
application for exploring visual perception. A pilot neuroeducational study.-
29-Genes Classification Based on Multi Class SVMs with Systematic Sampling
and Hierarchical Clustering (SSHC) Algorithm.- 30-Multinetwork motor learning
as a model for dance in neurorehabilitation.- 31-Controlling the chimera form
in the Leaky Integrate-and-Fire model.- 32-Qualitative differences between
the Semi-separable and the Almansi type Stokes stream function expansions
in the study of biological fluids.- 33-A multiscale mathematical model for
tumor growth, incorporating theGLUT1 expression.

Professor Panagiotis Vlamos is the Chairman of the University Research Centre and Director of the Bioinformatics and Human Electrophysiology Laboratory (BiHELab) of the Ionian University. His main research interests are Mathematical Modelling, Bioinformatics and Computational Neuroscience.