Publications

In Preparation
Can Chen and Yang-Yu Liu. In Preparation. “Graph Convolutional Network-based Feature Selection for High-dimensional and Low-sample Size Data”.
Joshua Pickard, Rahmy Salman, Can Chen, Amit Surana, and Indika Rajapakse. In Preparation. “Hypergraph Analysis Toolbox for Chromosome Conformation”.
Can Chen. In Preparation. Tensor-based Dynamical Systems - Theory and Applications.
Submitted
Amit Surana, Can Chen, and Indika Rajapakse. Submitted. “Hypergraph Dissimilarity Measures.” arXiv. Publisher's Version 2106.08206.pdf
Can Chen. Submitted. “On the Stability of Multilinear Dynamical Systems.” arXiv. Publisher's Version 2105.01041.pdf
Xu-Wen Wang, Tong Wang, Darius Schaub, Can Chen, Zheng Sun, Shanlin Ke, Julian Hecker, Anna Maaser-Hecker, Oana A. Zeleznik, Roman Zeleznik, Augusto A. Litonjua, Dawn DeMeo, Jessica Lasky-Su, Edwin Silverman, Yang-Yu Liu, and Scott T. Weiss. Submitted. “Benchmarking Omics-based Prediction of Asthma Development in Children”.
Can Chen and Yang-Yu Liu. Submitted. “A Survey on Hyperlink Prediction.” arXiv. Publisher's Version 2207.02911.pdf
Can Chen*, Chen Liao*, and Yang-Yu Liu. Submitted. “Teasing out Missing Reactions in Genome-scale Metabolic Networks through Deep Learning.” bioRxiv. Publisher's Version 2022.06.27.497720v1.pdf
2022
Gabrielle A. Dotson*, Can Chen*, Stephen Lindsly*, Anthony Cicalo, Sam Dilworth, Charles Ryan, Sivakumar Jeyarajan, Walter Meixner, Nicholas Beckloff, Joshua Pickard, Amit Surana, Max Wicha, Lindsey A. Muir, and Indika Rajapakse. 9/20/2022. “Deciphering Multi-way Interactions in the Human Genome.” Nature Communications, 13, Pp. 5498. Publisher's Version s41467-022-32980-z.pdf
2021
Stephen Lindsly, Wenlong Jia, Haiming Chen, Sijia Liu, Scott Ronquist, Can Chen, Xingzhao Wen, Cooper Stansbury, Gabrielle A. Dotson, Charles Ryan, Alnawaz Rehemtulla, Gilbert S. Omenn, Max Wicha, Shuai Cheng Li, Lindsey Muir, and Indika Rajapakse. 12/2021. “Functional Organization of the Maternal and Paternal Human 4D Nucleome.” iScience, 26, 12, Pp. 103452. Publisher's Version j.isci.2021.103452.pdf
Can Chen. 9/2021. “Multilinear Control Systems Theory and its Applications.” University of Michigan. Publisher's Version 10.73023013.pdf
Gabrielle A. Dotson, Charles W. Ryan, Can Chen, Lindsey Muir, and Indika Rajapakse. 7/2021. “Cellular Reprogramming: Mathematics Meets Medicine.” Wiley Interdisciplinary Reviews: Mechanisms of Disease, 13, 4, Pp. e1515. Publisher's Version wsbm.1515.pdf
Can Chen, Amit Surana, Anthony M. Bloch, and Indika Rajapakse. 7/2021. “Controllability of Hypergraphs.” IEEE Transactions on Network Science and Engineering, 8, 2, Pp. 1646-1657. Publisher's Version tnse.2021.3068203.pdf
Stephen Lindsly, Can Chen, Sijia Liu, Scott Ronquist, Samuel Dilworth, Michael Perlman, and Indika Rajapakse. 4/2021. “4DNvestigator: Time Series Genomic Data Analysis Toolbox.” Nucleus, 12, 1, Pp. 58-64. Publisher's Version 19491034.2021.1910437.pdf
Patrick Sweeney*, Can Chen*, Indika Rajapakse, and Roger D. Cone. 4/2021. “Network Dynamics of Hypothalamic Feeding Neurons.” Proceedings of the National Academy of Sciences, 118, 14, Pp. e2011140118. Publisher's Version pnas.2011140118.pdf
Can Chen, Amit Surana, Anthony M. Bloch, and Indika Rajapakse. 2/2021. “Multilinear Control Systems Theory.” SIAM Journal on Control and Optimization, 59, 1, Pp. 749–776. Publisher's Version 19m1262589.pdf
2020
Can Chen and Indika Rajapakse. 10/2020. “Tensor Entropy for Uniform Hypergraphs.” IEEE Transactions on Network Science and Engineering, 7, 4, Pp. 2889-2900. Publisher's Version tnse.2020.3002963.pdf
2019
Can Chen, Amit Surana, Anthony M. Bloch, and Indika Rajapakse. 6/2019. “Multilinear Time Invariant System Theory.” In Conference on Control and its Applications, Pp. 118-125. Chengdu, China: SIAM. Publisher's Version 1.9781611975758.18.pdf