| Mutation-induced changes in the receptor-binding interface of the SARS-CoV-2 Delta variant B. 1.617. 2 and implications for immune evasion P Baral, N Bhattarai, ML Hossen, V Stebliankin, BS Gerstman, ... Biochemical and biophysical research communications 574, 14-19, 2021 | 80 | 2021 |
| Potential autoimmunity resulting from molecular mimicry between SARS-CoV-2 spike and human proteins J Nunez-Castilla, V Stebliankin, P Baral, CA Balbin, M Sobhan, ... Viruses 14 (7), 1415, 2022 | 61 | 2022 |
| Causal effects in microbiomes using interventional calculus M Sazal, V Stebliankin, K Mathee, C Yoo, G Narasimhan Scientific Reports 11 (1), 5724, 2021 | 20* | 2021 |
| Epitopedia: identifying molecular mimicry between pathogens and known immune epitopes CA Balbin, J Nunez-Castilla, V Stebliankin, P Baral, M Sobhan, ... ImmunoInformatics 9, 100023, 2023 | 11 | 2023 |
| Large scale microbiome profiling in the cloud C Valdes, V Stebliankin, G Narasimhan Bioinformatics 35 (14), i13-i22, 2019 | 10 | 2019 |
| Effect of metronidazole on vaginal microbiota associated with asymptomatic bacterial vaginosis D Ruiz-Perez, MS Coudray, B Colbert, K Krupp, H Kumari, V Stebliankin, ... Access microbiology 3 (5), 000226, 2021 | 8 | 2021 |
| Prior exposure to microcystin alters host gut resistome and is associated with dysregulated immune homeostasis in translatable mouse models P Saha, D Bose, V Stebliankin, T Cickovski, RK Seth, DE Porter, ... Scientific reports 12 (1), 11516, 2022 | 7 | 2022 |
| EMoMiS: A pipeline for epitope-based molecular mimicry search in protein structures with applications to SARS-CoV-2 V Stebliankin, P Baral, C Balbin, J Nunez-Castilla, M Sobhan, T Cickovski, ... BioRxiv, 2022.02. 05.479274, 2022 | 7 | 2022 |
| Explainable parallel rcnn with novel feature representation for time series forecasting J Shi, R Myana, V Stebliankin, A Shirali, G Narasimhan International Workshop on Advanced Analytics and Learning on Temporal Data …, 2023 | 5 | 2023 |
| Diet Quality and Liver Health in People Living with HIV in the MASH Cohort: A Multi-Omic Analysis of the Fecal Microbiome and Metabolome HR Martin, S Sales Martinez, V Stebliankin, JA Tamargo, A Campa, ... Metabolites 13 (2), 271, 2023 | 4 | 2023 |
| Novel approach for microbiome analysis using bacterial replication rates and causal inference with applications V Stebliankin, M Sazal, C Valdes, K Mathee, G Narasimhan bioRxiv, 2020.05. 21.108514, 2020 | 4 | 2020 |
| Evaluating protein binding interfaces with transformer networks V Stebliankin, A Shirali, P Baral, J Shi, P Chapagain, K Mathee, ... Nature Machine Intelligence 5 (9), 1042-1053, 2023 | 3 | 2023 |
| Spike mimicry of thrombopoietin may induce thrombocytopenia in COVID-19 J Nunez-Castilla, V Stebliankin, P Baral, CA Balbin, M Sobhan, ... BioRxiv, 2021.08. 10.455737, 2021 | 3 | 2021 |
| Microbiome maps: Hilbert curve visualizations of metagenomic profiles C Valdes, V Stebliankin, D Ruiz-Perez, JI Park, H Lee, G Narasimhan Frontiers in Bioinformatics 3, 1154588, 2023 | 2 | 2023 |
| Multiomic analysis reveals microbiome-related relationships between cocaine use and metabolites SS Martinez, V Stebliankin, J Hernandez, H Martin, J Tamargo, ... AIDS 36 (15), 2089-2099, 2022 | 2 | 2022 |
| A novel approach for combining the metagenome, metaresistome, metareplicome and causal inference to determine the microbes and their antibiotic resistance gene repertoire that … V Stebliankin, M Sazal, C Valdes, K Mathee, G Narasimhan Microbial Genomics 8 (12), 000899, 2022 | 1 | 2022 |
| Exp4-dfdc: A non-stochastic multi-armed bandit for cache replacement F Yusuf, C Valdes, V Stebliankin, G Vietri, G Narasimhan arXiv preprint arXiv:2009.11330, 2020 | 1 | 2020 |
| Check for updates Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting J Shi, R Myana, V Stebliankin, A Shirali, G Narasimhan Advanced Analytics and Learning on Temporal Data: 8th ECML PKDD Workshop …, 2023 | | 2023 |
| The Power of Explainability in Forecast-Informed Deep Learning Models for Flood Mitigation J Shi, V Stebliankin, G Narasimhan arXiv preprint arXiv:2310.19166, 2023 | | 2023 |
| Graph Transformer Network for Flood Forecasting with Heterogeneous Covariates J Shi, V Stebliankin, Z Wang, S Wang, G Narasimhan arXiv preprint arXiv:2310.07631, 2023 | | 2023 |
Giri NarasimhanComputing and Information Sciences, Florida International Universitycs.fiu.edu의 이메일 확인됨
