Kurum Yazarı "Bakır Güngör, Burcu" İçin Listeleme
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COMPARATIVE PERFORMANCE ANALYSIS OF ARIMA, PROPHET AND HOLT-WINTERS FORECASTING METHODS ON EUROPEAN COVID-19 DATA
Ersöz, Nur Şebnem; Güner Şahan, Pınar; Akbas, Ayhan; Bakır Güngör, Burcu (Kerim ÇETİNKAYA, 2022)COVID-19 is the most common infectious disease of the last few years and has caused an outbreak all around the world. The mortality rate, which was earlier in the hundreds, increased to thousands and then to millions. ... -
Ensemble feature selection and classification methods for machine learning-based coronary artery disease diagnosis
Kolukisa, Burak; Bakir-Gungor, Burcu (ELSEVIER, 2023)Coronary artery disease (CAD) is a condition in which the heart is not fed sufficiently as a result of the accumulation of fatty matter. As reported by the World Health Organization, around 32% of the total deaths in the ... -
Inflammatory bowel disease biomarkers of human gut microbiota selected via different feature selection methods
Bakır Güngör, Burcu; Hacılar, Hilal; Jabeer, Amhar; Nalbantoğlu, Özkan Ufuk; Aran, Oya; Yousef, Malik (PEERJ INC, 2022)The tremendous boost in next generation sequencing and in the “omics” technologies makes it possible to characterize the human gut microbiome—the collective genomes of the microbial community that reside in our gastrointestinal ... -
miRModuleNet: Detecting miRNA-mRNA Regulatory Modules
Yousef, Malik; Goy, Gokhan; Bakır Güngör, Burcu (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 ... -
Prediction of Linear Cationic Antimicrobial Peptides Active against Gram-Negative and Gram-Positive Bacteria Based on Machine Learning Models
Bakır Güngör, Burcu; Söylemez, Ümmü Gülsüm; Yousef, Malik; Kesmen, Zulal; Büyükkiraz, Mine Erdem (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 ...
