Sfoglia per Soggetto "data mining"
Items 1-12 di 12
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Computational genomic analysis of PARK7 interactome reveals high BBS1 gene expression as a prognostic factor favoring survival in malignant pleural mesothelioma
(2015)The aim of our study was to assess the differential gene expression of Parkinson protein 7 (PARK7) interactome in malignant pleural mesothelioma (MPM) using data mining techniques to identify novel candidate genes that may ... -
Diana-map: Analyzing mirna from raw ngs data to quantification
(2021)microRNAs (miRNAs) are small non-coding RNAs (~22 nts) that are considered central post-transcriptional regulators of gene expression and key components in many pathological conditions. Next-Generation Sequencing (NGS) ... -
Drug genetic associations with COVID-19 manifestations: a data mining and network biology approach
(2022)Available drugs have been used as an urgent attempt through clinical trials to minimize severe cases of hospitalizations with Coronavirus disease (COVID-19), however, there are limited data on common pharmacogenomics ... -
DTCo: An Ensemble SSL Algorithm for X-ray Classification
(2020)In the last decades, the classification of images was established as a typical method for diagnosing many abnormalities and diseases. The purpose of an efficient classification method is considered essential in modern ... -
Efficient algorithms for distortion and blocking techniques in association rule hiding
(2007)Data mining provides the opportunity to extract useful information from large databases. Various techniques have been proposed in this context in order to extract this information in the most efficient way. However, ... -
A knowledge discovery methodology for behavior analysis of large-scale applications on parallel architectures
(2003)The focus of this paper is the application and extension of the knowledge discovery in databases process [5] developed in PYTHIA recommender system, to analyze the behavior of a DOE ASCI application/hardware pairs in the ... -
Mining the Protein Data Bank to improve prediction of changes in protein-protein binding
(2021)Predicting the effect of mutations on protein-protein interactions is important for relating structure to function, as well as for in silico affinity maturation. The effect of mutations on protein-protein binding energy ... -
Modeling energy and air pollution health damaging: a two-stage DEA approach
(2021)Various pollutants can cause serious health problems. One of these pollutants is sulfur dioxide which is associated with respiratory problems in humans. In this study, two-stage DEA method is used to estimate the efficiencies ... -
Novel candidate genes of the PARK7 interactome as mediators of apoptosis and acetylation in multiple sclerosis: An in silico analysis
(2018)Background currently only 4 studies have explored the potential role of PARK7's dysregulation in MS pathophysiology Currently, no study has evaluated the potential role of the PARK7 interactome in MS. Objective The aim of ... -
Peryton: A manual collection of experimentally supported microbe-disease associations
(2021)We present Peryton (https://dianalab.e-ce.uth.gr/peryton/), a database of experimentally supported microbe-disease associations. Its first version constitutes a novel resource hosting more than 7900 entries linking 43 ... -
A Stock Market Prediction System, utilizing a combination of data mining algorithms on “gvol-candlesticks”© patterns and neural networks focused on an input smart pre-process system using technical indicators.
(2008)The dissertation explores aspects and methods beyond technical analysis hoping to bring successful results in the stock market. Actually, it involves two different scientific approaches. The one approach is to discover ...