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ORCIDOsman Ugur Sezerman
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2020 – today
- 2023
[j19]Ege Ülgen
, Ozan Ozisik, Osman Ugur Sezerman:
PANACEA: network-based methods for pharmacotherapy prioritization in personalized oncology. Bioinform. 39(1) (2023)- 2021
- [j18]Ege Ülgen, Osman Ugur Sezerman:
driveR: a novel method for prioritizing cancer driver genes using somatic genomics data. BMC Bioinform. 22(1): 263 (2021) - [j17]Rosy Tsopra, Xosé M. Fernández, Claudio Luchinat, Lilia Alberghina, Hans Lehrach, Marco Vanoni, Felix Dreher, Osman Ugur Sezerman, Marc Cuggia, Marie de Tayrac, Edvins Miklasevics, Lucian Mihai Itu, Marius Geanta, Lesley Ogilvie, Florence Godey, Cristian Nicolae Boldisor, Boris Campillo-Gimenez, Cosmina Cioroboiu, Costin Florian Ciusdel, Simona Coman, Oliver Hijano Cubelos, Alina Itu, Bodo Lange, Matthieu Le Gallo, Alexandra Lespagnol, Giancarlo Mauri, H. Okan Soykam, Bastien Rance, Paola Turano, Leonardo Tenori, Alessia Vignoli, Christoph Wierling, Nora Benhabiles, Anita Burgun:
A framework for validating AI in precision medicine: considerations from the European ITFoC consortium. BMC Medical Informatics Decis. Mak. 21(1): 274 (2021) - [j16]Malik Yousef, Ege Ülgen, Osman Ugur Sezerman:
CogNet: classification of gene expression data based on ranked active-subnetwork-oriented KEGG pathway enrichment analysis. PeerJ Comput. Sci. 7: e336 (2021)
2010 – 2019
- 2018
- [j15]Emel Timuçin, Osman Ugur Sezerman:
Thermostability of the PYL-PP2C Heterodimer Is Dependent on Magnesium: In Silico Insights into the Link between Heat Stress Response and Magnesium Deficiency in Plants. J. Chem. Inf. Model. 58(3): 661-672 (2018) - [j14]Zoya Khalid, Osman Ugur Sezerman:
Prediction of HIV Drug Resistance by Combining Sequence and Structural Properties. IEEE ACM Trans. Comput. Biol. Bioinform. 15(3): 966-973 (2018) - 2017
- [j13]Zoya Khalid, Osman Ugur Sezerman:
ZK DrugResist 2.0: A TextMiner to extract semantic relations of drug resistance from PubMed. J. Biomed. Informatics 69: 93-98 (2017) - 2015
- [j12]Ahmet Sinan Yavuz, Namik Berk Sözer, Osman Ugur Sezerman:
Prediction of neddylation sites from protein sequences and sequence-derived properties. BMC Bioinform. 16(S18): S9 (2015) - 2014
- [j11]Burcu Bakir-Gungor, Ece Egemen, Osman Ugur Sezerman:
PANOGA: a web server for identification of SNP-targeted pathways from genome-wide association study data. Bioinform. 30(9): 1287-1289 (2014) - 2013
- [j10]Yasin Bakis, Hasan H. Otu, Nivart Taçi, Cem Meydan, Nee Bilgin, Sirri Yüzbaiolu, Osman Ugur Sezerman:
Testing robustness of relative complexity measure method constructing robust phylogenetic trees for Galanthus L. Using the relative complexity measure. BMC Bioinform. 14: 20 (2013) - [j9]Cem Meydan, Hasan H. Otu, Osman Ugur Sezerman:
Prediction of peptides binding to MHC class I and II alleles by temporal motif mining. BMC Bioinform. 14(S-2): S13 (2013) - 2012
- [c14]Cem Meydan, Osman Ugur Sezerman:
Representation of Protein Secondary Structure Using Bond-Orientational Order Parameters. PRIB 2012: 188-197 - [c13]Ahmet Sinan Yavuz, Bugra Ozer, Osman Ugur Sezerman:
Pattern Recognition for Subfamily Level Classification of GPCRs Using Motif Distillation and Distinguishing Power Evaluation. PRIB 2012: 267-276 - 2011
- [j8]Murat Can Cobanoglu, Yücel Saygin, Osman Ugur Sezerman:
Classification of GPCRs Using Family Specific Motifs. IEEE ACM Trans. Comput. Biol. Bioinform. 8(6): 1495-1508 (2011) - 2010
- [j7]Aydin Albayrak, Hasan H. Otu, Osman Ugur Sezerman:
Clustering of protein families into functional subtypes using Relative Complexity Measure with reduced amino acid alphabets. BMC Bioinform. 11: 428 (2010) - [j6]Cem Meydan, Osman Ugur Sezerman:
Biomarker discovery for toxicity. Neurocomputing 73(13-15): 2384-2393 (2010)
2000 – 2009
- 2009
- [j5]Giulia Soldà, Igor V. Makunin, Osman Ugur Sezerman, Alberto Corradin, Giorgio Corti, Alessandro Guffanti:
An Ariadne's thread to the identification and annotation of noncoding RNAs in eukaryotes. Briefings Bioinform. 10(5): 475-489 (2009) - [j4]Süveyda Yeniterzi, Osman Ugur Sezerman:
EnzyMiner: automatic identification of protein level mutations and their impact on target enzymes from PubMed abstracts. BMC Bioinform. 10(S-8): 2 (2009) - [j3]Serdar Cakici, Selcuk Sumengen, Osman Ugur Sezerman, Selim Balcisoy:
DockPro: A VR-Based Tool for Protein-Protein Docking Problem. Int. J. Virtual Real. 8(2): 19-23 (2009) - [c12]Yasin Bakis, Osman Ugur Sezerman, M. Tekin Babaç, Cem Meydan:
Optimization of morphological data in numerical taxonomy analysis using genetic algorithms feature selection method. GECCO (Companion) 2009: 1967-1970 - [c11]Deniz Yörükoglu, Yasin Bakis, Osman Ugur Sezerman:
An entropy based heuristic model for predicting functional sub-type divisions of protein families. GECCO (Companion) 2009: 2173-2178 - [c10]Cem Meydan, Osman Ugur Sezerman, Hasan H. Otu:
Prediction of Peptides Binding to MHC Class I Alleles by Partial Periodic Pattern Mining. IJCBS 2009: 315-318 - 2008
- [c9]Alper Küçükural, Osman Ugur Sezerman, Aytül Erçil:
Discrimination of Native Folds Using Network Properties of Protein Structures. APBC 2008: 59-68 - [c8]Cem Meydan, Alper Küçükural, Deniz Yörükoglu, Osman Ugur Sezerman:
Discovery of Biomarkers for Hexachlorobenzene Toxicity Using Population Based Methods on Gene Expression Data. PRIB 2008: 412-423 - [c7]Serdar Cakici, Selcuk Sumengen, Osman Ugur Sezerman, Selim Balcisoy:
DockPro: a VR-based tool for protein-protein docking problem. VRCAI 2008 - 2007
- [j2]Alper Küçükural, Osman Ugur Sezerman:
Discrimination of proteins using graph theoretic properties. BMC Syst. Biol. 1(S-1): P49 (2007) - [j1]Müge Erdogmus, Osman Ugur Sezerman:
Application of Automatic Mutation-gene Pair Extraction to Diseases. J. Bioinform. Comput. Biol. 5(6): 1261-1275 (2007) - [c6]Alper Küçükural, Osman Ugur Sezerman:
Potential Use of Graph Theoretical Properties of Protein Structures in Structural Alignment. BIOCOMP 2007: 23-30 - [c5]Alper Küçükural, Reyyan Yeniterzi, Süveyda Yeniterzi, Osman Ugur Sezerman:
Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms. GECCO 2007: 401-406 - 2006
- [c4]Burcu Bakir, Osman Ugur Sezerman:
Functional Classification of G-Protein Coupled Receptors, Based on Their Specific Ligand Coupling Patterns. EvoWorkshops 2006: 1-12 - [c3]Galip Gürkan Yardimci, Alper Küçükural, Yücel Saygin, Osman Ugur Sezerman:
Modified Association Rule Mining Approach for the MHC-Peptide Binding Problem. ISCIS 2006: 165-173 - [c2]Bekir Ergüner, Özgün Erdogan, Osman Ugur Sezerman:
Prediction and Classification for GPCR Sequences Based on Ligand Specific Features. ISCIS 2006: 174-181 - 2004
- [c1]Zerrin Isik, Berrin A. Yanikoglu, Osman Ugur Sezerman:
Protein Structural Class Determination Using Support Vector Machines. ISCIS 2004: 82-89
Coauthor Index
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