TY - CONF AU - Krész, Miklós AU - Zaválnij, Bogdán TI - Graph Theory and Combinatorial Scientific Computing T2 - SIAM Conference on Computational Science and Engineering (CSE23) PY - 2023 SP - 161 EP - 162 PG - 2 UR - https://m2.mtmt.hu/api/publication/34481652 ID - 34481652 LA - English DB - MTMT ER - TY - CONF AU - Dulai, Tibor AU - Daniil, Baldouski AU - Balázs, Dávid AU - Dósa, György AU - Krész, Miklós AU - Nagy, Zsuzsanna AU - Starkné Werner, Ágnes TI - Design And Analysis Of Vehicle Scheduling And Routing Methods On A Port Logistics Problem From The Aspect Of Environmental Impact And Cost-Efficiency T2 - ECCO XXXVI CONFERENCE 2023 - Book of Abstracts PY - 2023 SP - 48 UR - https://m2.mtmt.hu/api/publication/34201726 ID - 34201726 LA - English DB - MTMT ER - TY - CONF AU - Dulai, Tibor AU - Daniil, Baldouski AU - Balázs, Dávid AU - Dósa, György AU - Krész, Miklós AU - Nagy, Zsuzsanna AU - Starkné Werner, Ágnes TI - Framework for multi-objective analysis of port logistic scheduling and routing algorithms T2 - OR23 - International Conference on Operations Research 2023 - Technical Program PY - 2023 SP - 32 UR - https://m2.mtmt.hu/api/publication/34191379 ID - 34191379 LA - English DB - MTMT ER - TY - CONF AU - Dulai, Tibor AU - Dósa, György AU - Krész, Miklós AU - Starkné Werner, Ágnes AU - Baldouski, Daniil AU - Dávid, Balázs TI - Kikötői logisztikai ütemezés T2 - XXXV. Magyar Operációkutatás Konferencia PB - Budapesti Corvinus Egyetem PY - 2023 SP - 32 UR - https://m2.mtmt.hu/api/publication/34190189 ID - 34190189 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Baldouski, Daniil AU - Dávid, Balázs AU - Dósa, György AU - Dulai, Tibor AU - Starkné Werner, Ágnes AU - Krész, Miklós ED - Drobne, S. ED - Stirn, L.Z. ED - Borstnar, M.K. ED - Povh, J. ED - Povh, J. ED - Zerovnik, J. TI - Managing and optimizing container flow in port logistics T2 - Proceedings of the 17th International Symposium on Operational Research in Slovenia, SOR 2023 PB - Slovenian Society Informatika CY - Ljubljana SN - 9789616165617 PY - 2023 SP - 89 EP - 92 PG - 4 UR - https://m2.mtmt.hu/api/publication/34190163 ID - 34190163 LA - English DB - MTMT ER - TY - CHAP AU - Ochieng, Peter Juma AU - Dombi, József AU - Kalmár, Tibor AU - London, András AU - Krész, Miklós ED - Drobne, S. ED - Stirn, L.Z. ED - Borstnar, M.K. ED - Povh, J. ED - Povh, J. ED - Zerovnik, J. TI - Graph-Based Prioritization of Related Cancer Genes T2 - Proceedings of the 17th International Symposium on Operational Research in Slovenia, SOR 2023 PB - Slovenian Society Informatika CY - Ljubljana SN - 9789616165617 PY - 2023 SP - 371 EP - 374 PG - 4 UR - https://m2.mtmt.hu/api/publication/34154764 ID - 34154764 LA - English DB - MTMT ER - TY - JOUR AU - Ochieng, Peter Juma AU - Dombi, József AU - Kalmár, Tibor AU - Krész, Miklós TI - A Special Structural Based Weighted Network Approach for the Analysis of Protein Complexes JF - APPLIED SCIENCES-BASEL J2 - APPL SCI-BASEL VL - 13 PY - 2023 IS - 11 PG - 29 SN - 2076-3417 DO - 10.3390/app13116388 UR - https://m2.mtmt.hu/api/publication/33861686 ID - 33861686 AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Ochieng, Peter Juma AU - Maróti, Zoltán AU - Dombi, József AU - Krész, Miklós AU - Békési, József AU - Kalmár, Tibor TI - Adaptive Savitzky–Golay Filters for Analysis of Copy Number Variation Peaks from Whole-Exome Sequencing Data JF - INFORMATION (BASEL) J2 - INFORMATION-BASEL VL - 14 PY - 2023 IS - 2 PG - 21 SN - 2078-2489 DO - 10.3390/info14020128 UR - https://m2.mtmt.hu/api/publication/33643183 ID - 33643183 AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Ochieng, Peter Juma AU - Hussain, Abrar AU - Dombi, József AU - Krész, Miklós TI - An efficient weighted network centrality approach for exploring mechanisms of action of the Ruellia herbal formula for treating rheumatoid arthritis JF - APPLIED NETWORK SCIENCE J2 - APPL NETW SCI VL - 8 PY - 2023 IS - 1 PG - 29 SN - 2364-8228 DO - 10.1007/s41109-022-00527-2 UR - https://m2.mtmt.hu/api/publication/33591238 ID - 33591238 LA - English DB - MTMT ER - TY - JOUR AU - Egri, Péter AU - Dávid, B AU - Kis, Tamás AU - Krész, Miklós TI - Robust facility location in reverse logistics JF - ANNALS OF OPERATIONS RESEARCH J2 - ANN OPER RES VL - 324 PY - 2023 IS - 1-2 SP - 163 EP - 188 PG - 26 SN - 0254-5330 DO - 10.1007/s10479-021-04405-5 UR - https://m2.mtmt.hu/api/publication/32507182 ID - 32507182 LA - English DB - MTMT ER -