A5072521052- Academic Publishing and Open Access
- COVID-19 diagnosis using AI
- COVID-19 Clinical Research Studies
- scientometrics and bibliometrics research
- Biomedical Text Mining and Ontologies
- Research Data Management Practices
- Scientific Computing and Data Management
- MicroRNA in disease regulation
- Complex Network Analysis Techniques
- Cancer-related molecular mechanisms research
- RNA modifications and cancer
- Expert finding and Q&A systems
- Advanced Text Analysis Techniques
- Text Readability and Simplification
- Topic Modeling
- Advanced biosensing and bioanalysis techniques
- Advanced Graph Neural Networks
- Software Engineering Research
- Semantic Web and Ontologies
- Service-Oriented Architecture and Web Services
- Mobile Crowdsensing and Crowdsourcing
- Distributed and Parallel Computing Systems
- Machine Learning and ELM
- Digital Humanities and Scholarship
- Climate Change and Health Impacts
Athena Research and Innovation Center In Information Communication & Knowledge Technologies
2014-2023
National Technical University of Athens
2014-2019
Aristotle University of Thessaloniki
2016-2018
AHEPA University Hospital
2016-2018
University of Peloponnese
2015
Alexander Fleming Biomedical Sciences Research Center
2014
RMIT University
2014
University of Thessaly
2014
DIANA-TarBase v8 (http://www.microrna.gr/tarbase) is a reference database devoted to the indexing of experimentally supported microRNA (miRNA) targets. Its eighth version first >1 million entries, corresponding ∼670 000 unique miRNA-target pairs. The interactions are by >33 experimental methodologies, applied ∼600 cell types/tissues under ∼451 conditions. It integrates information on cell-type specific miRNA–gene regulation, while hundreds thousands miRNA-binding locations reported. TarBase...
microRNAs (miRNAs) are short non-coding RNA species, which act as potent gene expression regulators. Accurate identification of miRNA targets is crucial to understanding their function. Currently, hundreds thousands miRNA:gene interactions have been experimentally identified. However, this wealth information fragmented and hidden in manuscripts raw next-generation sequencing data sets. DIANA-TarBase was initially released 2006 it the first database aiming catalog published validated...
microRNAs (miRNAs) are short non-coding RNAs (ncRNAs) that act as post-transcriptional regulators of coding gene expression. Long (lncRNAs) have been recently reported to interact with miRNAs. The sponge-like function lncRNAs introduces an extra layer complexity in the miRNA interactome. DIANA-LncBase v1 provided a database experimentally supported and silico predicted Recognition Elements (MREs) on lncRNAs. second version LncBase (www.microrna.gr/LncBase) presents extensive collection...
microRNAs (miRNAs) are small non-coding RNAs that actively fine-tune gene expression. The accurate characterization of the mechanisms underlying miRNA transcription regulation will further expand our knowledge regarding their implication in homeostatic and pathobiological networks. Aim DIANA-miRGen v3.0 (http://www.microrna.gr/mirgen) is to provide for first time cell-line-specific start sites (TSSs), coupled with genome-wide maps factor (TF) binding order unveil regulation. To this end,...
As the rate at which scientific work is published continues to increase, so does need discern high-impact publications. In recent years, there have been several approaches that seek rank publications based on their expected citation-based impact. Despite this level of attention, research area has not systematically studied. Past literature often fails distinguish between short-term impact, current popularity an article, and long-term overall influence article. Moreover, evaluation...
Abstract Summary: Identifying, amongst millions of publications available in MEDLINE, those that are relevant to specific microRNAs (miRNAs) interest based on keyword search faces major obstacles. References miRNA names the literature often deviate from standard nomenclature for various reasons, since even official evolves. For instance, a single name may identify two completely different molecules or refer same molecule. mirPub is database with powerful and intuitive interface, which...
MicroRNAs (miRNAs) are small RNA molecules that inhibit the expression of particular genes, a function makes them useful towards treatment many diseases. Computational methods predict which genes targeted by miRNA known as target prediction methods. In this paper, we present MapReduce-based system, termed MR-microT, for one most popular and accurate, but computational intensive, MR-microT offers highly requested life scientists feature predicting targets ad-hoc in near-real time through an...
The constantly increasing rate at which scientific papers are published makes it difficult for researchers to identify that currently impact the research field of their interest. In this work, we present a method ranks based on estimated short-term impact, as measured by number citations received in near future. Our models researcher exploring paper citation network, and introduces an attention-based mechanism, akin time-restricted version preferential attachment, explicitly captures...
Abstract Since the beginning of coronavirus pandemic, a large number relevant articles have been published or become available in preprint servers. These articles, along with earlier related literature, compose valuable knowledge base affecting contemporary research studies even government actions to limit spread disease, and directing treatment decisions taken by physicians. However, such is increasing at an intense rate, making exploration literature identification useful challenging. In...
Due to the rapidly increasing number of scientific articles, finding valuable work for further research has become tedious and time consuming. To alleviate this issue, search engines have used citation-based article impact ranking. However, most rely on very simplistic measures (usually citation count) make problematic assumption that there is a one-size-fits-all measure. address these problems, we present BIP! Finder, engine facilitates identification articles by exploiting two different...
Bone lymphomas can be classified as primary (PBL), or secondary (SBL).PBL is a rare entity, accounting for approximately 7% of malignant bone tumors, 5% extra nodal and <1% all non-Hodgkin lymphomas.We present here case multifocal lymphoma in 72-year old female patient, who was admitted to our clinic further investigation persistent back pain, anorexia, weight loss fatigue.There were no palpable lymph nodes, hepatosplenomegaly neurological signs.Her laboratory tests showed moderate elevation...
The growth rate of the number scientific publications is constantly increasing, creating important challenges in identification valuable research and various scholarly data management applications, general. In this context, measures which can effectively quantify impact could be invaluable. work, we present BIP! DB, an open dataset that contains a variety calculated for large collection more than 100 million from disciplines.
Since the beginning of 2019-20 coronavirus pandemic, a large number relevant articles has been published or become available in preprint servers. These articles, along with earlier related literature, compose valuable knowledge base affecting contemporary research studies, even government actions to limit spread disease and treatment decisions taken by physicians. However, such is increasing at an intense rate making exploration literature identification useful it challenging. In this work,...
In recent years, assessing the performance of researchers has become a burden due to extensive volume existing research output. As result, evaluators often end up relying heavily on selection indicators like h-index. However, over-reliance such may result in reinforcing dubious practices, while overlooking important aspects researcher's career, as their exact role production particular works or contribution other types academic activities (e.g., datasets, peer reviewing). response, number...
MicroRNAs (miRNAs) are small RNA molecules that target particular genes and prohibit their expression. Since many important diseases related to the expression or non-expression of genes, knowing miRNAs affect these can help in finding possible treatments. In last decade, a large amount experimental studies trying reveal targets several has been published. A handful curated databases collect miRNA from literature have developed make this information more easily available. However, due number...
Abstract As the number of published scientific papers continually increases, ability to assess their impact becomes more valuable than ever. In this work, we focus on problem estimating expected citation-based popularity (or short-term impact) papers. State-of-the-art methods for attempt leverage current citation data each paper. However, these are prone inaccuracies recently papers, which have a limited history. context, previously introduced ArtSim, an approach that can be applied top any...