Li Shen

  • 6535 Citations
  • 43 h-Index
19972020
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  • 3 Similar Profiles
Alzheimer Disease Medicine & Life Sciences
Neuroimaging Medicine & Life Sciences
Brain Engineering & Materials Science
Imaging techniques Engineering & Materials Science
Genome-Wide Association Study Medicine & Life Sciences
Single Nucleotide Polymorphism Medicine & Life Sciences
Imaging Mathematics
Alzheimer's Disease Mathematics

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NIH Grants 2008 2020

Neuroimaging
Bioinformatics
Brain
Genes
Imaging techniques
Bioinformatics
Brain
Imaging techniques
Nucleotides
Polymorphism
Harmonic functions
Brain
Imaging techniques
Neuroimaging
Volume measurement

Publications 1997 2019

A Unified Model for Robust Differential Expression Analysis of RNA-Seq Data

Liu, K., Shen, L. & Jian, H., Jan 21 2019, Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. Schmidt, H., Griol, D., Wang, H., Baumbach, J., Zheng, H., Callejas, Z., Hu, X., Dickerson, J. & Zhang, L. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 437-442 6 p. 8621331. (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

RNA
Genes
Linear Models
Gene Expression
Gene expression

Fast Multi-Task SCCA Learning with Feature Selection for Multi-Modal Brain Imaging Genetics

Du, L., Liu, K., Yao, X., Risacher, S. L., Han, J., Guo, L., Saykin, A. & Shen, L., Jan 21 2019, Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. Schmidt, H., Griol, D., Wang, H., Baumbach, J., Zheng, H., Callejas, Z., Hu, X., Dickerson, J. & Zhang, L. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 356-361 6 p. 8621298. (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neuroimaging
Single Nucleotide Polymorphism
Feature extraction
Brain
Learning

Hierarchical Structured Sparse Learning for Schizophrenia Identification

Wang, M., Hao, X., Huang, J., Wang, K., Shen, L., Xu, X., Zhang, D. & Liu, M., Jan 1 2019, In : Neuroinformatics.

Research output: Contribution to journalArticle

Frequency bands
Schizophrenia
Learning
Brain
Neuroimaging

Identifying progressive imaging genetic patterns via multi-task sparse canonical correlation analysis: A longitudinal study of the ADNI cohort

Du, L., Liu, K., Zhu, L., Yao, X., Risacher, S. L., Guo, L., Saykin, A. & Shen, L., Jul 15 2019, In : Bioinformatics. 35, 14, p. i474-i483 btz320.

Research output: Contribution to journalArticle

Open Access
Canonical Correlation Analysis
Longitudinal Study
Longitudinal Studies
Imaging
Imaging techniques

Interactive Machine Learning by Visualization: A Small Data Solution

Li, H., Fang, S., Mukhopadhyay, S., Saykin, A. & Shen, L., Jan 22 2019, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 3513-3521 9 p. 8621952. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning systems
Visualization
Data mining
Feedback
Data visualization