| Critical Assessment of Metagenome Interpretation: the second round of challenges F Meyer, A Fritz, ZL Deng, D Koslicki, TR Lesker, A Gurevich, G Robertson, ... Nature methods 19 (4), 429-440, 2022 | 191 | 2022 |
| Emerging Priorities for Microbiome Research CM Cullen, KK Aneja, S Beyhan, CE Cho, S Woloszynek, M Convertino, ... Frontiers in Microbiology 11, 136, 2020 | 162 | 2020 |
| Genetic grouping of SARS-CoV-2 coronavirus sequences using informative subtype markers for pandemic spread visualization Z Zhao, BA Sokhansanj, C Malhotra, K Zheng, GL Rosen PLoS computational biology 16 (9), e1008269, 2020 | 55 | 2020 |
| 16S rRNA sequence embeddings: Meaningful numeric feature representations of nucleotide sequences that are convenient for downstream analyses S Woloszynek, Z Zhao, J Chen, GL Rosen PLoS computational biology 15 (2), e1006721, 2019 | 36 | 2019 |
| Amino Acid k-mer Feature Extraction for Quantitative Antimicrobial Resistance (AMR) Prediction by Machine Learning and Model Interpretation for Biological Insights T ValizadehAslani, Z Zhao, BA Sokhansanj, GL Rosen Biology 9 (11), 365, 2020 | 29 | 2020 |
| Keeping up with the genomes: efficient learning of our increasing knowledge of the tree of life Z Zhao, A Cristian, G Rosen BMC bioinformatics 21, 1-23, 2020 | 21 | 2020 |
| Exploring thematic structure and predicted functionality of 16S rRNA amplicon data S Woloszynek, JC Mell, Z Zhao, G Simpson, MP O’Connor, GL Rosen PloS one 14 (12), e0219235, 2019 | 21 | 2019 |
| Learning, visualizing and exploring 16S rRNA structure using an attention-based deep neural network Z Zhao, S Woloszynek, F Agbavor, JC Mell, BA Sokhansanj, GL Rosen PLOS Computational Biology 17 (9), e1009345, 2021 | 20 | 2021 |
| Incremental author name disambiguation for scientific citation data Z Zhao, J Rollins, L Bai, G Rosen 2017 IEEE International Conference on Data Science and Advanced Analytics …, 2017 | 17 | 2017 |
| Characterizing geographical and temporal dynamics of novel coronavirus SARS-CoV-2 using informative subtype markers Z Zhao, BA Sokhansanj, G Rosen BioRxiv, 2020 | 11 | 2020 |
| Emerging priorities for microbiome research. Front Microbiol 11: 136 CM Cullen, KK Aneja, S Beyhan, CE Cho, S Woloszynek, M Convertino, ... | 9 | 2020 |
| Interpretable and predictive deep modeling of the SARS-CoV-2 spike protein sequence BA Sokhansanj, Z Zhao, GL Rosen medRxiv, 2021.12. 26.21268414, 2021 | 8 | 2021 |
| Analysis Methods for Shotgun Metagenomics S Woloszynek, Z Zhao, G Ditzler, JR Price, ER Reichenberger, Y Lan, ... Theoretical and Applied Aspects of Systems Biology, 71-112, 2018 | 5 | 2018 |
| Visualizing and Annotating Protein Sequences using A Deep Neural Network Z Zhao, G Rosen 2020 54th Asilomar Conference on Signals, Systems, and Computers, 506-510, 2020 | 4 | 2020 |
| How Scalable Are Clade-Specific Marker K-Mer Based Hash Methods for Metagenomic Taxonomic Classification? M Gray, Z Zhao, GL Rosen Frontiers in Signal Processing 2, 2022 | 2 | 2022 |
| Themetagenomics: Exploring Thematic Structure and Predicted Functionality of 16s rRNA Amplicon Data S Woloszynek, JC Mell, Z Zhao, G Simpson, MP O’Connor, GL Rosen BioRxiv, 678110, 2019 | 2 | 2019 |
| A partial contact frictional force model for finger-surface interactions M Janko, Z Zhao, M Kam, Y Visell 2018 IEEE Haptics Symposium (HAPTICS), 255-261, 2018 | 2 | 2018 |
| Evaluating a topic model approach for parsing microbiome data structure S Woloszynek, Z Zhao, G Simpson, MP O’Connor, JC Mell, GL Rosen BioRxiv, 176412, 2017 | 2 | 2017 |
| Multi-temporal information object incremental learning software system Z Zhao, G Rosen US Patent 11,482,307, 2022 | 1 | 2022 |
| Spatiotemporal Tracking of SARS-CoV-2 Variants using informative subtype markers and association graphs AS Gupta, Z Zhao, G Rosen 2020 54th Asilomar Conference on Signals, Systems, and Computers, 516-519, 2020 | 1 | 2020 |
Gail RosenProfessor of ECE, Drexel UniversityVerified email at ece.drexel.edu
