Yazar "Bakir-Gungor, Burcu" için listeleme
-
miRcorrNet: machine learning-based integration of miRNA and mRNA expression profiles, combined with feature grouping and ranking
Yousef, Malik; Goy, Gokhan; Mitra, Ramkrishna; Eischen, Christine M.; Jabeer, Amhar; Bakir-Gungor, Burcu (PEERJ INC341-345 OLD ST, THIRD FLR, LONDON EC1V 9LL, ENGLAND, 2021)A better understanding of disease development and progression mechanisms at the molecular level is critical both for the diagnosis of a disease and for the development of therapeutic approaches. The advancements in high ... -
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 ... -
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 ... -
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 ... -
SVM-RCE-R-OPT: Optimization of Scoring Function for SVM-RCE-R
Yousef, Malik; Jabeer, Amhar; Bakir-Gungor, Burcu (SPRINGER INTERNATIONAL PUBLISHING AGGEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, 2021)Gene expression data classification provides a challenge in classification due to it having high dimensionality and a relatively small sample size. Different feature selection approaches have been used to overcome this ... -
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 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 ...