@CONFERENCE{MTMT:34481652, title = {Graph Theory and Combinatorial Scientific Computing}, url = {https://m2.mtmt.hu/api/publication/34481652}, author = {Krész, Miklós and Zaválnij, Bogdán}, booktitle = {SIAM Conference on Computational Science and Engineering (CSE23)}, unique-id = {34481652}, year = {2023}, pages = {161-162}, orcid-numbers = {Zaválnij, Bogdán/0000-0003-3060-0296} } @CONFERENCE{MTMT:34201726, title = {Design And Analysis Of Vehicle Scheduling And Routing Methods On A Port Logistics Problem From The Aspect Of Environmental Impact And Cost-Efficiency}, url = {https://m2.mtmt.hu/api/publication/34201726}, author = {Dulai, Tibor and Daniil, Baldouski and Balázs, Dávid and Dósa, György and Krész, Miklós and Nagy, Zsuzsanna and Starkné Werner, Ágnes}, booktitle = {ECCO XXXVI CONFERENCE 2023 - Book of Abstracts}, unique-id = {34201726}, year = {2023}, pages = {48}, orcid-numbers = {Dósa, György/0000-0002-4909-6694} } @CONFERENCE{MTMT:34191379, title = {Framework for multi-objective analysis of port logistic scheduling and routing algorithms}, url = {https://m2.mtmt.hu/api/publication/34191379}, author = {Dulai, Tibor and Daniil, Baldouski and Balázs, Dávid and Dósa, György and Krész, Miklós and Nagy, Zsuzsanna and Starkné Werner, Ágnes}, booktitle = {OR23 - International Conference on Operations Research 2023 - Technical Program}, unique-id = {34191379}, year = {2023}, pages = {32}, orcid-numbers = {Dósa, György/0000-0002-4909-6694} } @CONFERENCE{MTMT:34190189, title = {Kikötői logisztikai ütemezés}, url = {https://m2.mtmt.hu/api/publication/34190189}, author = {Dulai, Tibor and Dósa, György and Krész, Miklós and Starkné Werner, Ágnes and Baldouski, Daniil and Dávid, Balázs}, booktitle = {XXXV. Magyar Operációkutatás Konferencia}, unique-id = {34190189}, keywords = {Optimisation; Vehicle routing; port logistics; pristaniška logistika; optimizacija; usmerjanje vozil}, year = {2023}, pages = {32}, orcid-numbers = {Dósa, György/0000-0002-4909-6694} } @inproceedings{MTMT:34190163, title = {Managing and optimizing container flow in port logistics}, url = {https://m2.mtmt.hu/api/publication/34190163}, author = {Baldouski, Daniil and Dávid, Balázs and Dósa, György and Dulai, Tibor and Starkné Werner, Ágnes and Krész, Miklós}, booktitle = {Proceedings of the 17th International Symposium on Operational Research in Slovenia, SOR 2023}, unique-id = {34190163}, year = {2023}, pages = {89-92}, orcid-numbers = {Dósa, György/0000-0002-4909-6694} } @inproceedings{MTMT:34154764, title = {Graph-Based Prioritization of Related Cancer Genes}, url = {https://m2.mtmt.hu/api/publication/34154764}, author = {Ochieng, Peter Juma and Dombi, József and Kalmár, Tibor and London, András and Krész, Miklós}, booktitle = {Proceedings of the 17th International Symposium on Operational Research in Slovenia, SOR 2023}, unique-id = {34154764}, year = {2023}, pages = {371-374}, orcid-numbers = {Ochieng, Peter Juma/0000-0001-6497-6481; Dombi, József/0000-0001-9459-912X; Kalmár, Tibor/0000-0002-0419-2009; London, András/0000-0003-1957-5368} } @article{MTMT:33861686, title = {A Special Structural Based Weighted Network Approach for the Analysis of Protein Complexes}, url = {https://m2.mtmt.hu/api/publication/33861686}, author = {Ochieng, Peter Juma and Dombi, József and Kalmár, Tibor and Krész, Miklós}, doi = {10.3390/app13116388}, journal-iso = {APPL SCI-BASEL}, journal = {APPLIED SCIENCES-BASEL}, volume = {13}, unique-id = {33861686}, abstract = {The detection and analysis of protein complexes is essential for understanding the functional mechanism and cellular integrity. Recently, several techniques for detecting and analysing protein complexes from Protein–Protein Interaction (PPI) dataset have been developed. Most of those techniques are inefficient in terms of detecting, overlapping complexes, exclusion of attachment protein in complex core, inability to detect inherent structures of underlying complexes, have high false-positive rates and an enrichment analysis. To address these limitations, we introduce a special structural-based weighted network approach for the analysis of protein complexes based on a Weighted Edge, Core-Attachment and Local Modularity structures (WECALM). Experimental results indicate that WECALM performs relatively better than existing algorithms in terms of accuracy, computational time, and p-value. A functional enrichment analysis also shows that WECALM is able to identify a large number of biologically significant protein complexes. Overall, WECALM outperforms other approaches by striking a better balance of accuracy and efficiency in the detection of protein complexes.}, year = {2023}, eissn = {2076-3417}, orcid-numbers = {Ochieng, Peter Juma/0000-0001-6497-6481; Dombi, József/0000-0001-9459-912X; Kalmár, Tibor/0000-0002-0419-2009} } @article{MTMT:33643183, title = {Adaptive Savitzky–Golay Filters for Analysis of Copy Number Variation Peaks from Whole-Exome Sequencing Data}, url = {https://m2.mtmt.hu/api/publication/33643183}, author = {Ochieng, Peter Juma and Maróti, Zoltán and Dombi, József and Krész, Miklós and Békési, József and Kalmár, Tibor}, doi = {10.3390/info14020128}, journal-iso = {INFORMATION-BASEL}, journal = {INFORMATION (BASEL)}, volume = {14}, unique-id = {33643183}, abstract = {Copy number variation (CNV) is a form of structural variation in the human genome that provides medical insight into complex human diseases; while whole-genome sequencing is becoming more affordable, whole-exome sequencing (WES) remains an important tool in clinical diagnostics. Because of its discontinuous nature and unique characteristics of sparse target-enrichment-based WES data, the analysis and detection of CNV peaks remain difficult tasks. The Savitzky–Golay (SG) smoothing is well known as a fast and efficient smoothing method. However, no study has documented the use of this technique for CNV peak detection. It is well known that the effectiveness of the classical SG filter depends on the proper selection of the window length and polynomial degree, which should correspond with the scale of the peak because, in the case of peaks with a high rate of change, the effectiveness of the filter could be restricted. Based on the Savitzky–Golay algorithm, this paper introduces a novel adaptive method to smooth irregular peak distributions. The proposed method ensures high-precision noise reduction by dynamically modifying the results of the prior smoothing to automatically adjust parameters. Our method offers an additional feature extraction technique based on density and Euclidean distance. In comparison to classical Savitzky–Golay filtering and other peer filtering methods, the performance evaluation demonstrates that adaptive Savitzky–Golay filtering performs better. According to experimental results, our method effectively detects CNV peaks across all genomic segments for both short and long tags, with minimal peak height fidelity values (i.e., low estimation bias). As a result, we clearly demonstrate how well the adaptive Savitzky–Golay filtering method works and how its use in the detection of CNV peaks can complement the existing techniques used in CNV peak analysis.}, year = {2023}, eissn = {2078-2489}, orcid-numbers = {Ochieng, Peter Juma/0000-0001-6497-6481; Maróti, Zoltán/0000-0002-0515-117X; Dombi, József/0000-0001-9459-912X; Krész, Miklós/0000-0002-7547-1128; Békési, József/0000-0003-3820-9777; Kalmár, Tibor/0000-0002-0419-2009} } @article{MTMT:33591238, title = {An efficient weighted network centrality approach for exploring mechanisms of action of the Ruellia herbal formula for treating rheumatoid arthritis}, url = {https://m2.mtmt.hu/api/publication/33591238}, author = {Ochieng, Peter Juma and Hussain, Abrar and Dombi, József and Krész, Miklós}, doi = {10.1007/s41109-022-00527-2}, journal-iso = {APPL NETW SCI}, journal = {APPLIED NETWORK SCIENCE}, volume = {8}, unique-id = {33591238}, year = {2023}, eissn = {2364-8228}, orcid-numbers = {Ochieng, Peter Juma/0000-0001-6497-6481; Dombi, József/0000-0001-9459-912X} } @article{MTMT:32507182, title = {Robust facility location in reverse logistics}, url = {https://m2.mtmt.hu/api/publication/32507182}, author = {Egri, Péter and Dávid, B and Kis, Tamás and Krész, Miklós}, doi = {10.1007/s10479-021-04405-5}, journal-iso = {ANN OPER RES}, journal = {ANNALS OF OPERATIONS RESEARCH}, volume = {324}, unique-id = {32507182}, issn = {0254-5330}, year = {2023}, eissn = {1572-9338}, pages = {163-188}, orcid-numbers = {Egri, Péter/0000-0002-1276-9103; Kis, Tamás/0000-0002-2759-1264} }