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Yuan Shang
PeerJ Editor & Reviewer
770 Points

Contributions by role

Reviewer 170
Editor 600

Contributions by subject area

Bioinformatics
Computational Biology
Genetics
Genomics
Neuroscience
Gastroenterology and Hepatology
Immunology
Oncology
Medical Genetics
Molecular Biology
Drugs and Devices
Pharmacology
Computational Science
Diabetes and Endocrinology
Cell Biology
Orthopedics
Computer Vision
Data Mining and Machine Learning
Artificial Intelligence
Data Science
Allergy and Clinical Immunology
Infectious Diseases
Respiratory Medicine
Cognitive Disorders
Neurology
Psychiatry and Psychology
Mathematical Biology
Surgery and Surgical Specialties

Yuan Shang

PeerJ Editor & Reviewer

Summary

Dr. Yuan Shang works on Alzheimer's Disease (AD) at the University of Arizona. He combines any potential methods and data to search potential therapeutic opportunities for AD. He is an expert on omics data analysis, multi-omics integrations, network-based pattern recognition, and machine learning-based biomarker discoveries.

Bioinformatics Computational Biology Crystallography Data Mining & Machine Learning Data Science Genetics Genomics Graphics Mathematical Biology Medical Genetics Metabolic Sciences Neuroscience Statistics Translational Medicine

Editorial Board Member

PeerJ - the Journal of Life & Environmental Sciences
PeerJ Computer Science

Past or current institution affiliations

University of Arizona
Hong Kong University of Science and Technology

Work details

Research Assistant Professor

University of Arizona
January 2020
Center for Innovation in Brain Science, Nerology

Research Associate

Hong Kong University of Science and Technology
June 2014 - December 2016
Life Science

Research Specialist, Principle

University of Arizona
February 2017 - December 2019
Center for Innovations in Brain Science

Websites

  • Google Scholar
  • CIBS

PeerJ Contributions

  • Edited 5

Academic Editor on

September 20, 2022
Context dependent prediction in DNA sequence using neural networks
Christian Grønbæk, Yuhu Liang, Desmond Elliott, Anders Krogh
https://doi.org/10.7717/peerj.13666 PubMed 36157058
January 18, 2022
Exploring the potential biomarkers for prognosis of glioblastoma via weighted gene co-expression network analysis
Mengyuan Zhang, Zhike Zhou, Zhouyang Liu, Fangxi Liu, Chuansheng Zhao
https://doi.org/10.7717/peerj.12768 PubMed 35111402
November 26, 2021
Prediction of early recurrence and response to adjuvant Sorafenib for hepatocellular carcinoma after resection
Liming Zheng, Xi Gu, Guojun Zheng, Xin Li, Meifang He, Longgen Liu, Xike Zhou
https://doi.org/10.7717/peerj.12554 PubMed 34900444
September 21, 2021
Multiomics-based analyses of KPNA2 highlight its multiple potentials in hepatocellular carcinoma
Jinzhong Zhang, Xiuzhi Zhang, Lingxiao Wang, Chunyan Kang, Ningning Li, Zhefeng Xiao, Liping Dai
https://doi.org/10.7717/peerj.12197 PubMed 34616632
August 6, 2021
Identification of a circRNA-miRNA-mRNA regulatory network for exploring novel therapeutic options for glioma
Yi He, Yihong Chen, Yuxin Tong, Wenyong Long, Qing Liu
https://doi.org/10.7717/peerj.11894 PubMed 34434651