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2020 – today
- 2023
[j6]Weizhe Li, Mike Mikailov
, Weijie Chen:
Scaling the Inference of Digital Pathology Deep Learning Models Using CPU-Based High-Performance Computing. IEEE Trans. Artif. Intell. 4(6): 1691-1704 (2023)- 2022
- [j5]Trinity Cheng, Pei-Ju Chin, Kenny H. Cha, Nicholas Petrick, Mike Mikailov:
Profiling the BLAST bioinformatics application for load balancing on high-performance computing clusters. BMC Bioinform. 23(1): 544 (2022) - 2021
- [j4]Arjun Bhatt, Ruth Roberts, Xi Chen, Ting Li, Skylar Connor, Qais Hatim, Mike Mikailov, Weida Tong, Zhichao Liu:
DICE: A Drug Indication Classification and Encyclopedia for AI-Based Indication Extraction. Frontiers Artif. Intell. 4: 711467 (2021) - 2020
- [j3]Mike Mikailov, Junshan Qiu, Fu-Jyh Luo, Stephen Whitney, Nicholas Petrick:
Scaling modeling and simulation on high-performance computing clusters. Simul. 96(2) (2020)
2010 – 2019
- 2017
- [j2]Mike Mikailov, Fu-Jyh Luo, Stuart Barkley, Lohit Valleru, Stephen Whitney, Zhichao Liu, Shraddha Thakkar, Weida Tong, Nicholas Petrick:
Scaling bioinformatics applications on HPC. BMC Bioinform. 18(14): 163-169 (2017) - 2012
- [c1]Mike Mikailov, Sithu D. Sudarsan, Fu-Jyh Luo:
Pseudo Random Number Generation for Parallelized Jobs on Clusters. CCGRID 2012: 680-681 - 2011
- [j1]Heng Luo, Jian Chen, Leming Shi, Mike Mikailov, Huang Zhu, Kejian Wang, Lin He, Lun Yang:
DRAR-CPI: a server for identifying drug repositioning potential and adverse drug reactions via the chemical-protein interactome. Nucleic Acids Res. 39(Web-Server-Issue): 492-498 (2011)
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