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Öğe A prediction approach for the functional effects of non-coding gene variants(Institute of Electrical and Electronics Engineers Inc., 2022) Yurtdaş, Gözde; Aslan, Kağan; Özyer, Sibel Tarıyan; Özyer, Tansel; Kaya, Mehmet; Alhajj, RedaThe aim of this study is to develop an approach for predicting the functional effects of variants of non-coding genes which have great importance in human genetics. Non-coding genes have formed a very vital field of study since they have a high effect on diseases. However, little is known about non-coding genes compared to coding genes, and they are found in the body almost 9 times more than coding genes. This is a critical issue, and i t is very important to predict the effects of these genes, which are so abundant in the body and difficult to understand. This exhibits the motivation of the study described in the paper. For this purpose, an extensive literature review was first conducted, and possible datasets that could be used were examined. Then, using Python programming language, we developed a prediction model with high accuracy. After investigating how important non-coding gene variants are, and in what areas they can be used, we decided to use a functional interaction network from the deep learning models as the most suitable method. We used STRING (Search Tool for the Retrieval of Interacting Genes/Proteins) which is a biological database and web resource of known and predicted protein-protein interactions. As a second step, we generated feature vectors. After checking the overlap of non-coding genes, we extracted three types of feature vectors. Identifying protein interaction network in Python, the outcome describes the interplay between the biomolecules encoded by genes. It allows to understand the complexities of cellular functions, and even predict potential therapeutics. As a last step, we implemented a deep learning model which included three fully connected (FC) layers, also known as dense layers, with dimensions 40, 10, and 2, respectively. Experimental results demonstrate that the proposed method captured high accuracy values.Öğe Identifying side effects of commonly used drugs in the treatment of Covid 19(Nature Research, 2020) Aygün, İrfan; Kaya, Mehmet; Alhajj, Reda S.To increase the success in Covid 19 treatment, many drug suggestions are presented, and some clinical studies are shared in the literature. There have been some attempts to use some of these drugs in combination. However, using more than one drug together may cause serious side effects on patients. Therefore, detecting drug-drug interactions of the drugs used will be of great importance in the treatment of Covid 19. In this study, the interactions of 8 drugs used for Covid 19 treatment with 645 different drugs and possible side effects estimates have been produced using Graph Convolutional Networks. As a result of the experiments, it has been found that the hematopoietic system and the cardiovascular system are exposed to more side effects than other organs. Among the focused drugs, Heparin and Atazanavir appear to cause more adverse reactions than other drugs. In addition, as it is known that some of these 8 drugs are used together in Covid-19 treatment, the side effects caused by using these drugs together are shared. With the experimental results obtained, it is aimed to facilitate the selection of the drugs and increase the success of Covid 19 treatment according to the targeted patient.Öğe Morphological changes in eeg, aquaporin-4, c-fos and the hıppocampus of animal models with temporal lobe epilepsy induced by kainic acid(Wiley-Blackwell, 2015) Taşkıran, Emine; Yılmaz, Uğur; Orhan, Nurcan; Bahçeci, M.; Kaya, Mehmet; Ahıshalı, B.; Küçük, Mutlu; Arıcan, N.; Gürses, CandanPurpose: Temporal lobe epilepsy (TLE) is the most frequent type of localization relatedfocalepilepsyseeninhumans.Ithasafrequencyrate of 30–35% among all epilepsies, and comprises 70% of intractable epilepsies. With hippocampal sclerosis as the most often observed histopathologicalfinding,itsepileptogenesisisstillresearched.Öğe The therapeutic effects of catalase-peg on the disrupted blood-brain barrier integrity by hyperosmolar mannitol infusion in rats(Wiley-Blackwell, 2016) Aytürk, Nilüfer; Orhan, Nurcan; Yılmaz Uğur, Canan; Arıcan, Nadir; Kaya, Mehmet; Elmas, İmdat; Küçük, Mutlu; Ahıskalı, Bülent[Abstract Not Available]Öğe User's research interests based paper recommendation system: A deep learning approach(Springer International Publishing AG, 2020) Bulut, Betül; Gündoğan, Esra; Kaya, Buket; Alhajj, Reda; Kaya, Mehmet[Abstract Not Available]











