Projects per year
Fingerprint The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.
- 4 Similar Profiles
Variable Selection
Mathematics
Penalized Regression
Mathematics
Penalty
Mathematics
Margin
Mathematics
Pursuit
Mathematics
Model Selection
Mathematics
Model-based Clustering
Mathematics
Support Vector Machine
Mathematics
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2006 2021
Estimation and Inference of Gene Regulatory Networks
Shen, X. T., Albert, F. W. & Pan, W.
NIH NIGMS NATL INST OF GENERAL
9/15/17 → 8/31/21
Project: Research project
Gene Regulatory Networks
video
interpretation
learning
Genetic Association and Personalized Medicine
Pan, W., Connett, J. E. & Shen, X. T.
7/1/15 → 4/30/20
Project: Research project
Precision Medicine
learning
Research Output 1993 2019
Application of deep convolutional neural networks in classification of protein subcellular localization with microscopy images
Xiao, M., Shen, X. T. & Pan, W., Apr 1 2019, In : Genetic epidemiology. 43, 3, p. 330-341 12 p.Research output: Contribution to journal › Article
Microscopy
Proteins
Learning
Computational Biology
Datasets
1
Citation
(Scopus)
Constrained likelihood for reconstructing a directed acyclic Gaussian graph
Yuan, Y., Shen, X. T., Pan, W. & Wang, Z., Mar 1 2019, In : Biometrika. 106, 1, p. 109-125 17 p.Research output: Contribution to journal › Article
Parameter estimation
Error analysis
Maximum likelihood
Computational complexity
Likelihood
Likelihood Ratio Tests for a Large Directed Acyclic Graph
Li, C., Shen, X. & Pan, W., Jan 1 2019, In : Journal of the American Statistical Association.Research output: Contribution to journal › Article
Directed Acyclic Graph
Likelihood Ratio Test
Asymptotic distribution
Pathway
Chi-squared
On High-Dimensional Constrained Maximum Likelihood Inference
Zhu, Y., Shen, X. & Pan, W., Jan 1 2019, In : Journal of the American Statistical Association.Research output: Contribution to journal › Article
Likelihood Inference
Maximum Likelihood
High-dimensional
Regularization
Nuisance Parameter
Smooth neighborhood recommender systems
Dai, B., Wang, J., Shen, X. & Qu, A., Feb 1 2019, In : Journal of Machine Learning Research. 20Research output: Contribution to journal › Article
Recommender Systems
Recommender systems
Covariates
Alternating Least Squares
Pooling