Konu "machine learning" için Fakülteler listeleme
Toplam kayıt 36, listelenen: 21-36
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microBiomeGSM: the identification of taxonomic biomarkers from metagenomic data using grouping, scoring and modeling (G-S-M) approach
(FRONTIERS MEDIA SA, 2023)Numerous biological environments have been characterized with the advent of metagenomic sequencing using next generation sequencing which lays out the relative abundance values of microbial taxa. Modeling the human microbiome ... -
MicroRNA prediction based on 3D graphical representation of RNA secondary structures
(TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, ATATURK BULVARI NO 221, KAVAKLIDERE, ANKARA, 00000, TURKEY, 2019)MicroRNAs (miRNAs) are posttranscriptional regulators of gene expression. While a miRNA can target hundreds of messenger RNA (mRNAs), an mRNA can be targeted by different miRNAs, not to mention that a single miRNA might ... -
miRdisNET: Discovering microRNA biomarkers that are associated with diseases utilizing biological knowledge-based machine learning
(Frontiers Media S.A., 2023)During recent years, biological experiments and increasing evidence have shown that microRNAs play an important role in the diagnosis and treatment of human complex diseases. Therefore, to diagnose and treat human complex ... -
miRModuleNet: Detecting miRNA-mRNA Regulatory Modules
(RONTIERS MEDIA SAAVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE CH-1015, SWITZERLAND, 2022)Increasing evidence that microRNAs (miRNAs) play a key role in carcinogenesis has revealed the need for elucidating the mechanisms of miRNA regulation and the roles of miRNAs in gene-regulatory networks. A better understanding ... -
Multi-Agent Context Learning Strategy for Interference-Aware Beam Allocation in mmWave Vehicular Communications
(IEEE, 2024)Millimeter wave (mmWave) has been recognized as one of key technologies for 5G and beyond networks due to its potential to enhance channel bandwidth and network capacity. The use of mmWave for various applications including ... -
A Novel Feature Design and Stacking Approach for Non-Technical Electricity Loss Detection
(Institute of Electrical and Electronics Engineers Inc., 2018)Non-technical electricity losses continue to jeopardize economic and social well-being of many countries. In this work, we develop machine learning classifiers that can identify anomalous electricity consumption in Turkey. ... -
NSEM: Novel Stacked Ensemble Method for Sentiment Analysis
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)Today, people often share their ideas, opinions and feelings through forums, social media sites, blogs and similar platforms. For this reason, access to these data has become very easy. Increase in the number of shares ... -
On Comparative Classification of Relevant Covid-19 Tweets
(Institute of Electrical and Electronics Engineers Inc., 2021)Due to the impressive information dissemination power of social networks such as Twitter, people tend to check social networks and Web pages more than other traditional news sources, including newspapers, TV news programs, ... -
Prediction of Linear Cationic Antimicrobial Peptides Active against Gram-Negative and Gram-Positive Bacteria Based on Machine Learning Models
(MDPI, 2022)Antimicrobial peptides (AMPs) are considered as promising alternatives to conventional antibiotics in order to overcome the growing problems of antibiotic resistance. Computational prediction approaches receive an increasing ... -
PSO Supported Ensemble Algorithm for Bad Data Detection Against Intelligent Hacking Algorithm
(FRONTIERS MEDIA SAAVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE CH-1015, SWITZERLAND, 2021)Power system cybersecurity has recently become important due to cyber-attacks. Due to advanced computer science and machine learning (ML) applications being used by malicious attackers, cybersecurity is becoming crucial ... -
Recent Advances in Machine Learning for Network Automation in the O-RAN
(MDPI, 2023)The evolution of network technologies has witnessed a paradigm shift toward open and intelligent networks, with the Open Radio Access Network (O-RAN) architecture emerging as a promising solution. O-RAN introduces ... -
Recursive Cluster Elimination based Rank Function (SVM-RCE-R) implemented in KNIME
(F1000 Research, 2020)In our earlier study, we proposed a novel feature selection approach, Recursive Cluster Elimination with Support Vector Machines (SVM-RCE) and implemented this approach in Matlab. Interest in this approach has grown over ... -
RNA İkincil Yapılarının Çok Boyutlu Gösterimi ve Pre-Mirna Tespiti Için Uygulamaları
(TUBİTAK, 2021)MikroRNA'lar (miRNA'lar), transkripsiyon sonrası gen ekspresyonu düzenleyicileridir. Bir miRNA yüzlerce haberci RNA'yı (mRNA'lar) hedefleyebildiği gibi, bir mRNA farklı miRNA'lar tarafından hedeflenebilir, üstelik tek ... -
Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions
(FRONTIERS MEDIA SAAVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE CH-1015, SWITZERLAND, 2021)The human microbiome has emerged as a central research topic in human biology and biomedicine. Current microbiome studies generate high-throughput omics data across different body sites, populations, and life stages. Many ... -
A toolbox of machine learning software to support microbiome analysis
(Frontiers Media SA, 2023)The human microbiome has become an area of intense research due to its potential impact on human health. However, the analysis and interpretation of this data have proven to be challenging due to its complexity and ... -
Zenginleştirilmiş Öznitelikler ve Makine Öğrenmesi Yöntemleriyle Protein Yerel Yapı Tahmini
(TUBİTAK, 2017)Projenin amacı proteinlerde bulunan ikincil yapı, dihedral açı ve çözücü erişilirlik gibi bir boyutlu yapısal özelliklerin başarılı olarak tahmin edilmesi ve bu tahminleri kullanarak parçacık seçimi yapan yeni bir yöntem ...