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ORCIDJun Ma 0032
Person information
- affiliation: North Carolina State University, Department of Statistics, Bioinformatics Research Center, Raleigh, NC, USA
Other persons with the same name
- Jun Ma — disambiguation page
- Jun Ma 0001
![[0000-0003-0203-4610]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-0203-4610")
— Shandong University, School of Computer Science and Technology, Jinan, China (and 1 more) - Jun Ma 0002 — University of Wollongong, SMART Infrastructure Facility, NSW, Australia (and 2 more)
- Jun Ma 0003 — Lanzhou University of Technology, China (and 1 more)
- Jun Ma 0004 — University of Aizu, Graduate Department of Computer and Information Systems, Aizu-Wakamatsu, Japan
- Jun Ma 0005 — Fudan University, State Key Laboratory of ASIC & System, Shanghai, China
- Jun Ma 0006 — Qualcomm, San Diego, CA, USA (and 1 more)
- Jun Ma 0007 — Marvell Semiconductors Inc., Santa Clara, CA, USA (and 1 more)
- Jun Ma 0008 — Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China (and 1 more)
- Jun Ma 0009 — Kunming University of Science and Technology, Faculty of Information Engineering and Automation, Yunnan Key Laboratory of Artificial Intelligence, Kunming, China (and 1 more)
- Jun Ma 0010 — Nanjing University, Department of Computer Science and Technology, State Key Laboratory for Novel Software Technology, Nanjing, China
- Jun Ma 0011 — Broadcom Corporation, Irvine, CA, USA (and 2 more)
- Jun Ma 0012 — Shanghai Jiao Tong University, School of Microelectronics, Shanghai, China
- Jun Ma 0013 — Northwest Minzu University, School of Mathematics and Computer Science, Lanzhou, China
- Jun Ma 0014 — Qualcomm, Inc., San Diego, USA (and 1 more)
- Jun Ma 0015 — National University of Defense Technology, College of Computer, Changsha, China
- Jun Ma 0016 — University of Toronto, Department of Laboratory Medicine and Pathobiology, ON, Canada (and 1 more)
- Jun Ma 0017 — Shanghai Jiaotong University, Department of Mathematics, Shanghai, China
- Jun Ma 0018 — Ping An Technology, China
- Jun Ma 0019 — Macquarie University, Department of Statistics, North Ryde, Australia
- Jun Ma 0020 — North Minzu University, School of Mathematics and Information Sciences, Yinchuan, China (and 1 more)
- Jun Ma 0021 — Chinese Academy of Sciences, Institute of Plasma Physics, Hefei, China
- Jun Ma 0022 — Fudan University, School of Life Sciences, Institute of Biodiversity Science, Key Laboratory for Biodiversity Science and Ecological Engineering, National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Shanghai, China
- Jun Ma 0023 — Beijing Forestry University, Beijing Key Laboratory of Precision Forestry, Beijing, China
- Jun Ma 0024 — Hunan University, College of Electrical and Information Engineering, Changsha, China
- Jun Ma 0025 — Hohai University, Business School, Jiangsu Water Resources and Sustainable Development Research Center, Nanjing, China
- Jun Ma 0026 — Xidian University, School of Telecommunications Engineering, Xi'an, China (and 1 more)
- Jun Ma 0027 — University of Calgary, Department of Mechanical and Manufacturing Engineering, Calgary, Canada
- Jun Ma 0028 — University of Minnesota, Department of Neurosurgery, Minneapolis, MN, USA
- Jun Ma 0029 — Amazon, Seattle, WA, USA (and 1 more)
- Benedict Jun Ma (aka: Jun Ma 0030) — University of Hong Kong, Department of Industrial and Manufacturing Systems Engineering, Hong Kong (and 1 more)
- Jun Ma 0031 — Guilin University of Electronic Technology, School of Electronic Engineering and Automation, Guangxi, China
- Jun Ma 0033 — Cincinnati Children's Research Foundation, Division of Developmental Biology, Cincinnati, OH, USA
- Jun Ma 0034 — University of Science and Technology of China, School of Data Science, Hefei, China (and 1 more)
- Jun Ma 0035 — Dalian University of Technology, School of Mechanical Engineering, Dalian, China
- Jun Ma 0036 — Tongji University, School of Automotive Studies, Design and Innovation College, Shanghai, China
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2020 – today
- 2021
[j2]Jun Ma, Alison A. Motsinger-Reif:
Prediction of synergistic drug combinations using PCA-initialized deep learning. BioData Min. 14(1) (2021)
2010 – 2019
- 2018
- [j1]Ravi Mathur, Daniel M. Rotroff, Jun Ma, Ali Shojaie, Alison A. Motsinger-Reif:
Gene set analysis methods: a systematic comparison. BioData Min. 11(1): 8:1-8:19 (2018)
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