WANT A PROFILE LIKE THIS?
Create my FREE Plan Or learn about other options
Li Shen
PeerJ Editor & Author
900 Points

Contributions by role

Editor 900

Contributions by subject area

Neurology
Public Health
Data Mining and Machine Learning
Computational Biology
Evolutionary Studies
Virology
Infectious Diseases
Bioinformatics
Genomics
Gastroenterology and Hepatology
Statistics
Data Science
Neuroscience
Psychiatry and Psychology
Radiology and Medical Imaging
Genetics
Oncology
Medical Genetics

Li Shen

PeerJ Editor & Author

Summary

Li Shen received his Ph.D. in Computer Science from Dartmouth College in 2004. He is a Professor of Informatics in the Department of Biostatistics, Epidemiology and Informatics at the Perelman School of Medicine in the University of Pennsylvania. He is an elected fellow of the American Institute for Medical and Biological Engineering (AIMBE).

Artificial Intelligence Bioinformatics Computational Biology Data Mining & Machine Learning Data Science Genetics Genomics Medical Genetics Neurology Neuroscience Radiology & Medical Imaging Visual Analytics

Editing Journals

PeerJ - the Journal of Life & Environmental Sciences

Past or current institution affiliations

University of Pennsylvania

Work details

Professor of Informatics

University of Pennsylvania
Biostatistics, Epidemiology and Informatics
Dr. Shen's research interests include medical image computing, bioinformatics, machine learning, imaging genomics, network science, and big data science in biomedicine. The central theme of his lab is focused on developing computational and informatics methods for integrative analysis of multimodal imaging data, high throughput omics data, cognitive and other biomarker data, electronic health record data, and rich biological knowledge (e.g., pathways and networks), with applications to various complex disorders such as Alzheimer’s disease. The goal is twofold: (1) advance computer science and bioinformatics by producing novel algorithms for analyzing large scale heterogeneous data sets; and (2) provide important new insights into the phenotypic characteristics and genetic mechanisms of normal and/or disordered biological structures and functions to impact the development of new diagnostic, therapeutic and preventative approaches.

Websites

  • Shen Lab
  • PubMed Search
  • Google Scholar
  • ORCID
  • LinkedIn

PeerJ Contributions

  • Edited 7

Academic Editor on

January 3, 2020
Identification and validation of a three-gene signature as a candidate prognostic biomarker for lower grade glioma
Kai Xiao, Qing Liu, Gang Peng, Jun Su, Chao-Ying Qin, Xiang-Yu Wang
https://doi.org/10.7717/peerj.8312 PubMed 31921517
January 11, 2019
Artificial liver research output and citations from 2004 to 2017: a bibliometric analysis
Yan Li, Meizhi He, Ziyuan Zou, Xiaohui Bian, Xiaowen Huang, Chen Yang, Shuyi Wei, Shixue Dai
https://doi.org/10.7717/peerj.6178 PubMed 30647995
July 9, 2018
Applying sequential pattern mining to investigate cerebrovascular health outpatients’ re-visit patterns
Chao Ou-Yang, Chandrawati Putri Wulandari, Rizka Aisha Rahmi Hariadi, Han-Cheng Wang, Chiehfeng Chen
https://doi.org/10.7717/peerj.5183 PubMed 30013845
July 2, 2018
Identification of hub genes and potential molecular mechanisms in gastric cancer by integrated bioinformatics analysis
Ling Cao, Yan Chen, Miao Zhang, De-quan Xu, Yan Liu, Tonglin Liu, Shi-xin Liu, Ping Wang
https://doi.org/10.7717/peerj.5180 PubMed 30002985
January 17, 2018
FUSTr: a tool to find gene families under selection in transcriptomes
T. Jeffrey Cole, Michael S. Brewer
https://doi.org/10.7717/peerj.4234 PubMed 29372116
August 31, 2017
Tracing hepatitis B virus (HBV) genotype B5 (formerly B6) evolutionary history in the circumpolar Arctic through phylogeographic modelling
Remco Bouckaert, Brenna C. Simons, Henrik Krarup, T. Max Friesen, Carla Osiowy
https://doi.org/10.7717/peerj.3757 PubMed 28875087
July 11, 2017
Methodological considerations in assessment of language lateralisation with fMRI: a systematic review
Abigail R. Bradshaw, Dorothy V.M. Bishop, Zoe V.J. Woodhead
https://doi.org/10.7717/peerj.3557 PubMed 28713656