| Metagenomic analysis of the microbial community in kefir grains U Nalbantoglu, A Cakar, H Dogan, N Abaci, D Ustek, K Sayood, H Can Food microbiology 41, 42-51, 2014 | 212 | 2014 |
| Bayesian network prior: network analysis of biological data using external knowledge S Isci, H Dogan, C Ozturk, HH Otu Bioinformatics 30 (6), 860-867, 2014 | 61 | 2014 |
| Detecting microbial dysbiosis associated with pediatric Crohn disease despite the high variability of the gut microbiota F Wang, JL Kaplan, BD Gold, MK Bhasin, NL Ward, R Kellermayer, ... Cell reports 14 (4), 945-955, 2016 | 55 | 2016 |
| Whole genome sequence of a Turkish individual H Dogan, H Can, HH Otu PloS one 9 (1), e85233, 2014 | 31 | 2014 |
| Small extracellular vesicles in milk cross the blood-brain barrier in murine cerebral cortex endothelial cells and promote dendritic complexity in the hippocampus and brain … F Zhou, P Ebea, E Mutai, H Wang, S Sukreet, S Navazesh, H Dogan, W Li, ... Frontiers in nutrition 9, 838543, 2022 | 23 | 2022 |
| Distinct and shared determinants of cardiomyocyte contractility in multi-lineage competent ethnically diverse human iPSCs ML Tomov, ZT Olmsted, H Dogan, E Gongorurler, M Tsompana, HH Otu, ... Scientific reports 6 (1), 37637, 2016 | 23 | 2016 |
| Objective functions H Doğan, HH Otu Multiple sequence alignment methods, 45-58, 2014 | 9 | 2014 |
| Formal language constraints for markov decision processes E Quint, D Xu, S Flint, S Scott, M Dwyer arXiv preprint arXiv:1910.01074, 2019 | 8 | 2019 |
| Elucidation of molecular links between obesity and cancer through microRNA regulation H Dogan, J Shu, Z Hakguder, Z Xu, J Cui BMC Medical Genomics 13, 1-13, 2020 | 6 | 2020 |
| Detecting Microbial Dysbiosis Associated with Pediatric Crohn Disease Despite the High Variability of the Gut Microbiota. Cell. Rep. 14, 945–955 F Wang, JL Kaplan, BD Gold, MK Bhasin, NL Ward, R Kellermayer, ... | 4 | 2016 |
| A New Approach to Batch Effect Removal Based on Distribution Matching in Latent Space H Li, H Dogan, J Cui 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 2 | 2019 |
| Elucidation of dynamic microRNA regulations in cancer progression using integrative machine learning H Dogan, Z Hakguder, R Madadjim, S Scott, M Pierobon, J Cui Briefings in bioinformatics 22 (6), bbab270, 2021 | 1 | 2021 |
| Computational learning of small RNA regulation in pancreatic cancer progression R Madadjim, H Dogan, J Cui 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | | 2022 |
| Representing Relationships between Variables from Discrete, Continuous and Mixed Data with Graphical Models H Dogan The University of Nebraska-Lincoln, 2021 | | 2021 |
| Elucidation of MicroRNA-Gene Regulation in Human Cancer with Integrative Network Models H Dogan, Z Hakguder, S Scott, J Cui 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | | 2019 |
| Unraveling exosome-enabled cancer signaling: An integrated genomic approach J Cui, J Shu, T Gao, H Dogan Cancer Research 79 (13_Supplement), 779-779, 2019 | | 2019 |
| Constraining Action Sequences with Formal Languages for Deep Reinforcement Learning D Xu, E Quint, Z Hakguder, H Dogan, S Scott, M Dwyer | | 2018 |
| journal homepage: www. elsevier. com/locate/desal M Bali, M Gueddari, R Boukchina, J Hou, H Cheng, D Wang, X Gao, ... | | |
