Yazar "Bakir-Gungor, Burcu" için WoS İndeksli Yayınlar Koleksiyonu listeleme
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Multi fragment melting analysis system (MFMAS) for one-step identification of lactobacilli
Kesmen, Zulal; Kilic, Ozge; Gormez, Yasin; Celik, Mete; Bakir-Gungor, Burcu (ELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS, 2020)The accurate identification of lactobacilli is essential for the effective management of industrial practices associated with lactobacilli strains, such as the production of fermented foods or probiotic supplements. For ... -
PANOGA: a web server for identification of SNP-targeted pathways from genome-wide association study data
Bakir-Gungor, Burcu; Egemen, Ece; Sezerman, Osman Ugur (OXFORD UNIV PRESS, GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND, 2014)Genome-wide association studies (GWAS) have revolutionized the search for the variants underlying human complex diseases. However, in a typical GWAS, only a minority of the single-nucleotide polymorphisms (SNPs) with the ... -
Performance Evaluations of Active Subnetwork Search Methods in Protein-Protein Interaction Networks
Gunter, Pinar; Bakir-Gungor, Burcu (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 01.01.2019)Protein-protein interaction networks are mathematical representations of the physical contacts between proteins in the cell. A group of interconnected proteins in a protein-protein interaction network that contains most ... -
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 ... -
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 ... -
Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions
Bakir-Gungor, Burcu; Moreno-Indias, Isabel; Lahti, Leo; Nedyalkova, Miroslava; Elbere, Ilze; Roshchupkin, Gennady; Adilovic, Muhamed; Aydemir, Onder; Santa Pau, Enrique Carrillo-de; D'Elia, Domenica; Desai, Mahesh S.; Falquet, Laurent; Gundogdu, Aycan; Hron, Karel; Klammsteiner, Thomas; Lopes, Marta B.; Marcos-Zambrano, Laura Judith; Marques, Claudia; Mason, Michael; May, Patrick; Pasic, Lejla; Pio, Gianvito; Pongor, Sandor; Promponas, Vasilis J.; Przymus, Piotr; Saez-Rodriguez, Julio; ampri, Alexia; Shigdel, Rajesh; Stres, Blaz; Suharoschi, Ramona; Truu, Jaak; Truica, Ciprian-Octavian; Vilne, Baiba; Vlachakis, Dimitrios; Yilmaz, Ercument; Zeller, Georg; Zomer, Aldert L.; Gomez-Cabrero, David; Claesson, Marcus J. (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 ... -
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 ...