Mike Mikailov - researchr alias

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Viewing Publication 1 - 7 from 7

2023

Scaling the Inference of Digital Pathology Deep Learning Models Using CPU-Based High-Performance ComputingWeizhe Li, Mike Mikailov, Weijie Chen. tai, 4(6):1691-1704, December 2023. [doi]

2022

Profiling the BLAST bioinformatics application for load balancing on high-performance computing clustersTrinity Cheng, Pei-Ju Chin, Kenny H. Cha, Nicholas Petrick, Mike Mikailov. bmcbi, 23(1):544, 2022. [doi]

2021

DICE: A Drug Indication Classification and Encyclopedia for AI-Based Indication ExtractionArjun Bhatt, Ruth Roberts, Xi Chen, Ting Li, Skylar Connor, Qais Hatim, Mike Mikailov, Weida Tong, Zhichao Liu. frai, 4:711467, 2021. [doi]

2020

Scaling modeling and simulation on high-performance computing clustersMike Mikailov, Junshan Qiu, Fu-Jyh Luo, Stephen Whitney, Nicholas Petrick. simulation, 96(2), 2020. [doi]

2017

Scaling bioinformatics applications on HPCMike Mikailov, Fu-Jyh Luo, Stuart Barkley, Lohit Valleru, Stephen Whitney, Zhichao Liu, Shraddha Thakkar, Weida Tong, Nicholas Petrick. bmcbi, 18(14):163-169, 2017. [doi]

2012

Pseudo Random Number Generation for Parallelized Jobs on ClustersMike Mikailov, Sithu D. Sudarsan, Fu-Jyh Luo. ccgrid 2012: 680-681 [doi]

2011

DRAR-CPI: a server for identifying drug repositioning potential and adverse drug reactions via the chemical-protein interactomeHeng Luo, Jian Chen, Leming Shi, Mike Mikailov, Huang Zhu, Kejian Wang, Lin He, Lun Yang. nar, 39(Web-Server-Issue):492-498, 2011. [doi]

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