Yazar "0000-0002-2272-6270" için Bilgisayar Mühendisliği Bölümü Koleksiyonu listeleme
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miRdisNET: Discovering microRNA biomarkers that are associated with diseases utilizing biological knowledge-based machine learning
Jabeer, Amhar; Temiz, Mustafa; Bakir-Gungor, Burcu; Yousef, Malik (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 ... -
Population Specific Classification of Colorectal Cancer with Meta-Analysis of Metagenomic Data
Temiz, Mustafa; Yousef, Malik; Bakir-Gungor, Burcu (Institute of Electrical and Electronics Engineers Inc., 2023)Yeni nesil dizilemedeki ve "-omik" teknolojilerdeki gelişmeler, insan bağırsak mikrobiyomunu karakterize etmeyi mümkün kılmaktadır. Bu mikroorganizmaların bazıları bağışıklık sistemimizin temel düzenleyicileriyken, ... -
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 ... -
PriPath: identifying dysregulated pathways from differential gene expression via grouping, scoring, and modeling with an embedded feature selection approach
Yousef, Malik; Ozdemir, Fatma; Jaber, Amhar; Allmer, Jens; Bakir-Gungor, Burcu (BMC, 2023)BackgroundCell homeostasis relies on the concerted actions of genes, and dysregulated genes can lead to diseases. In living organisms, genes or their products do not act alone but within networks. Subsets of these networks ... -
The relationship between PAPP-A levels, maternal characteristics, gestational diabetes and other biochemical markers of the aneuploidy screening
Uzut, Ommu Gulsum; Celebiler, Hande Kaymakcalan; Harkonen, Juho; Bakir-Gungor, Burcu (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)First trimester aneuploidy screening is routinely used in pregnancy follow-ups. In this screening, free /l-hCG and pregnancy-associated plasma protein A (PAPP-A) levels in the blood of the pregnant woman arc measured. The ... -
The relationship between TSH levels, maternal characteristics and racial group of the aneuploidy screening
Soylemez, Ummu Gulsum; Celebiler, Hande Kaymakcalan; Harkonen, Juho; Bakir-Gungor, Burcu (Institute of Electrical and Electronics Engineers Inc., 2022)First-trimester maternal screening is a widely used test for detecting fetal aneuploidies and neural tube defects for over two decades. Human chorionic gonadotropin hormone (beta-hCG) and pregnancy-associated plasma protein ... -
Review of feature selection approaches based on grouping of features
Kuzudisli, Cihan; Bakir-Gungor, Burcu; Bulut, Nurten; Qaqish, Bahjat; Yousef, Malik (PeerJ Inc., 2023)With the rapid development in technology, large amounts of high-dimensional data have been generated. This high dimensionality including redundancy and irrelevancy poses a great challenge in data analysis and decision ... -
SYNE1 related cerebellar ataxia presents with variable phenotypes in a consanguineous family from Turkey
Yucesan, E.; Iseri, Sibel A. Ugur; Bilgic, B.; Gormez, Z.; Gungor, B. Bakir; Sarac, A.; Ozdemir, O.; Sagiroglu, M.; Gurvit, H.; Hanagasi, H.; Ozbek, U. (SPRINGER-VERLAG ITALIA SRLVIA DECEMBRIO, 28, MILAN 20137, ITALY, 2017)SYNE1 related autosomal recessive cerebellar ataxia type 1 (ARCA1) is a late-onset cerebellar ataxia with slow progression originally demonstrated in French-Canadian populations of Quebec, Canada. Nevertheless, recent ... -
TextNetTopics Pro, a topic model-based text classification for short text by integration of semantic and document-topic distribution information
Voskergian, Daniel; Bakir-Gungor, Burcu; Yousef, Malik (FRONTIERS MEDIA SA, 2023)With the exponential growth in the daily publication of scientific articles, automatic classification and categorization can assist in assigning articles to a predefined category. Article titles are concise descriptions ... -
A toolbox of machine learning software to support microbiome analysis
Marcos-Zambrano, Laura Judith; López-Molina, Víctor Manuel; Bakir-Gungor, Burcu; Frohme, Marcus; Karaduzovic-Hadziabdic, Kanita; Klammsteiner, Thomas; Ibrahimi, Eliana; Lahti, Leo; Loncar-Turukalo, Tatjana; Dhamo, Xhilda; Simeon, Andrea; Nechyporenko, Alina; Pio, Gianvito; Przymus, Piotr; Sampri, Alexia; Trajkovik, Vladimir; Lacruz-Pleguezuelos, Blanca; Aasmets, Oliver; Araujo, Ricardo; Anagnostopoulos, Ioannis; Aydemir, Önder; Berland, Magali; Calle, M. Luz; Ceci, Michelangelo; Duman, Hatice; Gündoğdu, Aycan; Havulinna, Aki S.; Kaka Bra; Kardokh Hama Najib; Kalluci, Eglantina; Karav, Sercan; Lode, Daniel; Lopes, Marta B.; May, Patrick; Nap, Bram; Nedyalkova, Miroslava; Paciência, Inês; Pasic, Lejla; Pujolassos, Meritxell; Shigdel, Rajesh; Susín, Antonio; Thiele, Ines; Truică, Ciprian-Octavian; Wilmes, Paul; Yilmaz, Ercument; Yousef, Malik; Claesson, Marcus Joakim; Truu, Jaak; Carrillo de Santa Pau, Enrique (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 ... -
A Top-Down Approach for Finding Affected Pathway Subnetworks in Type 2 Diabetes
Unlu Yazici, Miray; Bakir-Gungor, Burcu (IEEE, 2020)Diyabet (Diabetes Mellitus, DM), insülin üreten pankreas beta hücrelerindeki fonksiyon bozukluğu, insülin direnci veya insülinin işlevselliğinin bozulması ile meydana gelen bir tür metabolik bozukluktur. Diyabet vakalarının ... -
Topological feature generation for link prediction in biological networks
Temiz, Mustafa; Bakir-Gungor, Burcu; Sahan, Pinar Guner; Coskun, Mustafa (PEERJ INC, 2023)Graph or network embedding is a powerful method for extracting missing or potential information from interactions between nodes in biological networks. Graph embedding methods learn representations of nodes and interactions ...