A5102882884- Biomedical Text Mining and Ontologies
- Bioinformatics and Genomic Networks
- Computational Drug Discovery Methods
- Genetics, Bioinformatics, and Biomedical Research
- Genomics and Phylogenetic Studies
- Online Learning and Analytics
- Machine Learning in Bioinformatics
- Complex Network Analysis Techniques
- Data Mining Algorithms and Applications
- Competency Development and Evaluation
- Gene expression and cancer classification
- Web visibility and informetrics
- Cancer Genomics and Diagnostics
- RNA modifications and cancer
- Innovation and Knowledge Management
- Microfluidic and Bio-sensing Technologies
- Innovative Teaching and Learning Methods
- Effects of Environmental Stressors on Livestock
- Higher Education Learning Practices
- Recommender Systems and Techniques
- Metabolomics and Mass Spectrometry Studies
- Epigenetics and DNA Methylation
- Semantic Web and Ontologies
- Industrial Vision Systems and Defect Detection
- Migration and Labor Dynamics
University of Crete
2014-2024
University of Thessaly
2022-2024
Democritus University of Thrace
2013-2024
University of Cyprus
2014-2023
Ministry of Health
2021
Aristotle University of Thessaloniki
2006-2020
Technological Educational Institute of Eastern Macedonia and Thrace
2012-2018
University of Luxembourg
2014
Hellenic Centre for Marine Research
2014
Centre for Research and Technology Hellas
2008-2014
Nowadays, due to the technological advances of high-throughput techniques, Systems Biology has seen a tremendous growth data generation. With network analysis, looking at biological systems higher level in order better understand system, its topology and relationships between components is great importance. Gene expression, signal transduction, protein/chemical interactions, biomedical literature co-occurrences, are few examples captured representations where nodes represent certain...
Profiling of proteome dynamics is crucial for understanding cellular behavior in response to intrinsic and extrinsic stimuli maintenance homeostasis. Over the last 20 years, mass spectrometry (MS) has emerged as most powerful tool large-scale identification characterization proteins. Bottom-up proteomics, common MS-based proteomics approach, always been challenging terms data management, processing, analysis visualization, with modern instruments capable producing several gigabytes out a...
Text mining and data integration methods are gaining ground in the field of health sciences due to exponential growth bio-medical literature information stored biological databases. While such mostly try extract bioentity associations from PubMed, very few them dedicated other types repositories as chemical Herein, we apply a text approach on DrugBank database order explore drug based "Description", "Indication", "Pharmacodynamics" "Mechanism Action" fields. We Name Entity Recognition (NER)...
Finding, exploring and filtering frequent sentence-based associations between a disease biomedical entity, co-mentioned in disease-related PubMed literature, is challenge, as the volume of publications increases. Darling web application, which utilizes Name Entity Recognition to identify human-related terms articles, mentioned OMIM, DisGeNET Human Phenotype Ontology (HPO) records, generates an interactive entity association network. Nodes this network represent genes, proteins, chemicals,...
Several selective macroautophagy receptor and adaptor proteins bind members of the Atg8 (autophagy related 8) family using short linear motifs (SLiMs), most often referred to as Atg8-family interacting (AIMs) or LC3-interacting regions (LIRs). AIM/LIR have been extensively studied during last fifteen years, since they can uncover underlying biological mechanisms possible substrates for this key catabolic process eukaryotic cells. Prompted by fact that experimental information regarding LIR...
Abstract Motivation: Biomedical literature is the principal repository of biomedical knowledge, with PubMed being most complete database collecting, organizing and analyzing such textual knowledge. There are numerous efforts that attempt to exploit this information by using text mining machine learning techniques. We developed a novel approach, called PuReD-MCL (Pubmed Related Documents-MCL), which based on graph clustering algorithm MCL relevant resources from PubMed. Methods: avoids...
The iterative process of finding relevant information in biomedical literature and performing bioinformatics analyses might result an endless loop for inexperienced user, considering the exponential growth scientific corpora plethora tools designed to mine PubMed(®) related biological databases. Herein, we describe BioTextQuest(+), a web-based interactive knowledge exploration platform with significant advances its predecessor (BioTextQuest), aiming bridge processes such as bioentity...
Abstract Schizophrenia (SCZ) is a chronic, severe, and complex psychiatric disorder that affects all aspects of personal functioning. While SCZ has very strong biological component, there are still no objective diagnostic tests. Lately, special attention been given to epigenetic biomarkers in SCZ. In this study, we introduce three-step, automated machine learning (AutoML)-based, data-driven, biomarker discovery pipeline approach, using genome-wide DNA methylation datasets laboratory...
Abstract Bottom-up proteomics analyses have been proved over the last years to be a powerful tool in characterization of proteome and are crucial for understanding cellular organism behaviour. Through differential proteomic analysis researchers can shed light on groups proteins or individual that play key roles certain, normal pathological conditions. However, several tools such complex datasets powerful, but hard-to-use with steep learning curves. In addition, some other easy use, weak...
Tissue-specific gene methylation events are key to the pathogenesis of several diseases and can be utilized for diagnosis monitoring. Here, we established an in silico pipeline analyze high-throughput methylome datasets identify specific fingerprints three pathological entities major burden, i.e., breast cancer (BrCa), osteoarthritis (OA) diabetes mellitus (DM). Differential analysis was conducted compare tissues/cells related pathology different types healthy tissues, revealing...
Abstract Background Genes of conserved order in bacterial genomes tend to evolve slower than genes whose is not conserved. In addition, with a GC content lower the resident genome are known be selectively silenced by histone-like nucleoid structuring protein (H-NS) Salmonella . Results this study, we use comparative genomics approach demonstrate that , (or without homologs) closely related bacteria possess significantly average comparison preserve their relative position genome. Moreover,...
Regardless of the tremendous technological development in manufacturing processes and equipment, assembly errors are an emerging concern. Hence, quality inspection software is high importance for capturing defects at source preventing further error propagation. The advantages Fuzzy Cognitive Maps (FCMs) as knowledge representation models with explainable capabilities can be compounded Deep Convolutional Neural Networks (CNNs) order to acquire accurate interpretable results Smart...
In recent years there is much talk about blogging and the way in which blogs influence media change people communicate share knowledge. Blogs are also at center of attention commercially, while a large number academic staff researches on them. Furthermore, represent an important new arena agriculture sector for knowledge discovery since farmers use them professional reasons. Opinion mining kind text mining. Its goal to assess attitude author with respect given subject. The may be positive or...