| A.1 Tolga Can, Chao-I Chen, Yuan-Fang Wang, Efficient molecular surface generation using level-set methods. "Journal of Molecular Graphics and Modelling", 25, (2006), p.442-454.|
A.2 Orhan Camoglu, Tolga Can, Ambuj K. Singh, Integrating multi-attribute similarity networks for robust representation of the protein space. "Bioinformatics", 22, (2006), p.1585-1592.
A.3 Murat Ali Bayir, Tacettin Dogacan Guney, Tolga Can, Integration of topological measures for eliminating non-specific interactions in protein interaction networks. "Discrete Applied Mathematics, doi:10.1016/j.dam.2008.06.034", (2008).
A.4 Mehmet Emin Turanalp, Tolga Can, Discovering functional interaction patterns in protein-protein interaction networks. "BMC Bioinformatics", 9, (2008), p.276.
A.5 K. Macropol, T. Can and A. K. Singh, RRW: repeated random walks on genome-scale protein networks for local cluster discovery. "BMC Bioinformatics", 10, (2009), p.283.
A.6 M. A. Bayir, T. D. Guney and T. Can, Integration of topological measures for eliminating non-specific interactions in protein interaction networks. "Discrete Applied Mathematics", 157, (2009), p.2416-2424.
A.7 O. Camoglu, T. Can, A. K. Singh, Accurate and Scalable Techniques for the Complex/Pathway Membership Problem in Protein Networks. "Advances in Bioinformatics", 2009, (2009), p.787128.
A.8 Levent Carkacioglu, Rengul Cetin Atalay, Ozlen Konu, Volkan Atalay, Tolga Can, Bi-k-Bi Clustering: Mining Large Scale Gene Expression Data Using Two-Level Biclustering. "International Journal of Data Mining and Bioinformatics", 4, (2010), p.701-721.
A.9 Fahri Kocabas, Tolga Can, Nazife Baykal, Metadata Management and Semantics in Microarray Repositories. "Balkan Journal of Medical Genetics", 14, (2011), p.49-63.
A.10 Merter Sualp, Tolga Can, Using network context as a filter for miRNA target prediction. "Biosystems", 105, (2011), p.201-209.
A.11 S. Hashemikhabir, E. S. Ayaz, Y. Kavurucu, T. Can, and Tamer Kahveci, Large-Scale Signaling Network Reconstruction. "IEEE/ACM Transcations on Computational Biology and Bioinformatics", 9, (2012), p.1696-1708.
A.12 B. H. Akman, T. Can, and A. E. Erson-Bensan, Estrogen-induced upregulation and 3'-UTR shortening of CDC6. "Nucleic Acids Research", (2012).
A.13 Oyku Eren Ozsoy, Tolga Can, A divide and conquer approach for construction of large-scale signaling networks from PPI and RNAi data using linear programming. "IEEE/ACM Transactions on Computational Biology an Bioinformatics", 10, (2013), p.869-883.
A.14 Elif Eser, Tolga Can, Hakan Ferhatosmanoglu, Div-BLAST: Diversification of Sequence Search Results. "PLOS One", 9, (2014), p.e115445.
A.15 T. Ersahin, L. Carkacioglu, T. Can, O. Konu, V. Atalay, R. Cetin-Atalay, Identification of Novel Reference Genes Based on MeSH Categories. "PLOS One", 9, (2014), p.e93341.
A.16 Mehmet Emre Sahin, Tolga Can, Cagdas D. Son, GPCRsort - Responding to the Next Generation Sequencing Data Challenge: Prediction of G Protein-Coupled Receptor Classes Using Only Structural Region Lengths. "OMICS: A Journal of Integrative Biology", 18, (2014), p.636-644.
A.17 H. B. Akman, M. Oyken, T. Tuncer, T. Can, and A. E. Erson-Bensan, 3′UTR shortening and EGF signaling: implications for breast cancer. "Human Molecular Genetics", (2015), p.391.
A.18 G. Budak, O. Eren-Ozsoy, Y. Aydin-Son, T. Can, and N. Tuncbag, Reconstruction of the temporal signaling network in Salmonella-infected human cells. "Frontiers in Microbiology", 6, (2015), p.00730.
A.19 Erhun Giray Tuncay and Tolga Can, SUMONA: A Supervised Method for Optimizing Network Alignment. "Computational Biology and Chemistry", 63, (2016), p.41-51.
A.20 Ayse Elif Erson-Bensan and Tolga Can, Alternative Polyadenylation: Another foe in cancer. "Molecular Cancer Research", 14, (2016), p.507-517.
A.21 A. R. Ozturk and T. Can, A multiplex primer design algorithm for target amplification of continuous genomic regions. "BMC Bioinformatics", 18, (2017), p.306.
A.22 A. B. Sonmez and T. Can, Comparison of tissue/disease specific integrated networks using directed graphlet signatures. "BMC Bioinformatics", 18, (2017), p.135.
A.23 O. Begik, M. Oyken, T.C. Alican, T. Can, and A.E. Erson-Bensan, Alternative Polyadenylation Patterns for Novel Gene Discovery and Classification in Cancer. "Neoplasia", 19, (2017), p.574-582.
| A.1 Ali Orkan Bayer, Ayca Muge Sevinc, Tolga Can, Human Skeletal and Muscle Deformation Animation Using Motion Capture Data. "16th WSCG International Conference in Central Europe on Computer Graphics, Visualization and Vision", 16, (2008), p.167-173.|
A.2 O. N. Yaveroglu and T. Can, Predicting Protein-Protein Interactions from Protein Sequences Using Phylogenetic Profiles. "International Conference on Bioinformatics, Computational and Systems Biology (ICBCSB'2009)", (2009).
A.3 Ali Gokalp Peker, Tolga Can, A design goal and design pattern based approach for development of game engines for mobile platforms. "Proceedings of the 2011 16th International Conference on Computer Games (CGAMES)", 16, (2011), p.114-120.
A.4 Emrah Akkoyun, Tolga Can, Parallelization of the functional flow algorithm for prediction of protein function using protein-protein interaction networks. "Proceedings of the 2011 International Conference on High Performance Computing and Simulation (HPCS)", (2011), p.56-62.
A.5 Caglar Ata, Tolga Can, DBCHEM: A Database Query Based Solution for the Chemical Compound and Drug Name Recognition Task. "Proceedings of the Fourth BioCreative Challenge Evaluation Workshop, BioCreative IV", 2, (2013), p.42-46.
A.6 RİFAİOĞLU AHMET SÜREYYA,DOĞAN TUNCA,CAN TOLGA, Unsupervised identification of redundant domain entries in InterPro database using clustering techniques. "6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics (BCB'15)", (2015).
Book and Chapter in a Book
| A.1 Tolga Can, Analysis of Protein-Protein Interaction Networks for Identification of Functional Modules. "Recent Advances in Systems Biology Research, series: Systems Biology - Theory, Techniques and Applic", (2014), p.79-88.|
A.2 Tolga Can, Introduction to Bioinformatics. "miRNomics: MicroRNA Biology and Computational Analysis, Methods in Molecular Biology", 1107, (2014), p.51-71.