GeNeDis 2020

Computational Biology and Bioinformatics

GeNeDis 2020

Computational Biology and Bioinformatics

171,19 €*

lieferbar in ca. 2-4 Werktagen

Falls Sie eine Lieferung außerhalb DE, AT oder CH wünschen, nutzen Sie bitte unser Kontaktformular für eine Anfrage.

The 4th World Congress on Genetics, Geriatrics and Neurodegenerative Diseases Research (GeNeDis 2020) focuses on the latest major challenges in scientific research, new drug targets, the development of novel biomarkers, new imaging techniques, novel protocols for early diagnosis of neurodegenerative diseases, and several other scientific advances, with the aim of better, safer, and healthier aging. Computational methodologies for implementation on the discovery of biomarkers for neurodegenerative diseases are extensively discussed. This volume focuses on the sessions from the conference regarding 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 Sjogren's 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 Alzheimer's 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 Alzheimer's 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 Parkinson's 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 Parkinson's disease in clinical practice: Data- driven biomarkers and pharmacological treatment
25-Emerging Machine Learning techniques for modelling cellular complex systems in Alzheimer's 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.


ISBN 978-3-030-78774-5
Artikelnummer 9783030787745
Medientyp Buch
Auflage 1st ed. 2021
Copyrightjahr 2021
Verlag Springer, Berlin
Umfang XV, 288 Seiten
Abbildungen XV, 288 p. 105 illus., 92 illus. in color.
Sprache Englisch