Review of feature selection approaches based on grou** of features

C Kuzudisli, B Bakir-Gungor, N Bulut, B Qaqish… - PeerJ, 2023 - peerj.com
With the rapid development in technology, large amounts of high-dimensional data have
been generated. This high dimensionality including redundancy and irrelevancy poses a …

miRNAs in heart development and disease

E Lozano-Velasco, JM Inácio, I Sousa… - International Journal of …, 2024 - mdpi.com
Cardiovascular diseases (CVD) are a group of disorders that affect the heart and blood
vessels. They include conditions such as myocardial infarction, coronary artery disease …

GediNET for discovering gene associations across diseases using knowledge based machine learning approach

E Qumsiyeh, L Showe, M Yousef - Scientific reports, 2022 - nature.com
The most common approaches to discovering genes associated with specific diseases are
based on machine learning and use a variety of feature selection techniques to identify …

Mitigating off‐target effects of small RNAs: conventional approaches, network theory and artificial intelligence

Z Bereczki, B Benczik, OM Balogh… - British Journal of …, 2025 - Wiley Online Library
Three types of highly promising small RNA therapeutics, namely, small interfering RNAs
(siRNAs), microRNAs (miRNAs) and the RNA subtype of antisense oligonucleotides (ASOs) …

TextNetTopics: text classification based word grou** as topics and topics' scoring

M Yousef, D Voskergian - Frontiers in Genetics, 2022 - frontiersin.org
Medical document classification is one of the active research problems and the most
challenging within the text classification domain. Medical datasets often contain massive …

miRdisNET: discovering microRNA biomarkers that are associated with diseases utilizing biological knowledge-based machine learning

A Jabeer, M Temiz, B Bakir-Gungor, M Yousef - Frontiers in Genetics, 2023 - frontiersin.org
During recent years, biological experiments and increasing evidence have shown that
microRNAs play an important role in the diagnosis and treatment of human complex …

[HTML][HTML] Prediction of linear cationic antimicrobial peptides active against gram-negative and gram-positive bacteria based on machine learning models

ÜG Söylemez, M Yousef, Z Kesmen, ME Büyükkiraz… - Applied Sciences, 2022 - mdpi.com
Antimicrobial peptides (AMPs) are considered as promising alternatives to conventional
antibiotics in order to overcome the growing problems of antibiotic resistance …

Invention of 3Mint for feature grou** and scoring in multi-omics

M Unlu Yazici, JS Marron, B Bakir-Gungor, F Zou… - Frontiers in …, 2023 - frontiersin.org
Advanced genomic and molecular profiling technologies accelerated the enlightenment of
the regulatory mechanisms behind cancer development and progression, and the targeted …

TextNetTopics Pro, a topic model-based text classification for short text by integration of semantic and document-topic distribution information

D Voskergian, B Bakir-Gungor, M Yousef - Frontiers in Genetics, 2023 - frontiersin.org
With the exponential growth in the daily publication of scientific articles, automatic
classification and categorization can assist in assigning articles to a predefined category …

microBiomeGSM: the identification of taxonomic biomarkers from metagenomic data using grou**, scoring and modeling (GSM) approach

B Bakir-Gungor, M Temiz, A Jabeer, D Wu… - Frontiers in …, 2023 - frontiersin.org
Numerous biological environments have been characterized with the advent of
metagenomic sequencing using next generation sequencing which lays out the relative …