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2020 – today
- 2024
[c8]Daifeng Wang, Wenjing Cao, Atsuo Takanishi:
A Standing Support Arm Design for Robotic Wheelchairs Using PPO-Based RL Strategy. ICCAE 2024: 567-571- [c7]Daifeng Wang, Wenjing Cao, Atsuo Takanishi:
Development of a Standing Support Arm with PPO Method for a Robotic Wheelchair. ICMRE 2024: 68-73 - 2023
- [j14]Noah Cohen Kalafut
, Xiang Huang, Daifeng Wang:
Joint variational autoencoders for multimodal imputation and embedding. Nat. Mac. Intell. 5(6): 631-642 (2023) - [j13]Robert Hermod Olson, Noah Cohen Kalafut, Daifeng Wang:
MANGEM: A web app for multimodal analysis of neuronal gene expression, electrophysiology, and morphology. Patterns 4(11): 100847 (2023) - [j12]Daifeng Wang, Wenjing Cao, Atsuo Takanishi:
Dual-Quaternion-Based SLERP MPC Local Controller for Safe Self-Driving of Robotic Wheelchairs. Robotics 12(6): 153 (2023) - [c6]Daifeng Wang, Wenjing Cao, Bo Zhang, Masakazu Mukai:
Motion Planning for a Robotic Wheelchair with SLERP MPC Local Planner. SICE 2023: 925-930 - 2022
- [j11]Cui-Xiang Lin, Hong-Dong Li, Chao Deng, Weisheng Liu, Shannon Erhardt, Fang-Xiang Wu, Xing-Ming Zhao, Yuanfang Guan, Jun Wang, Daifeng Wang, Bin Hu, Jianxin Wang:
An integrated brain-specific network identifies genes associated with neuropathologic and clinical traits of Alzheimer's disease. Briefings Bioinform. 23(1) (2022) - [j10]Nam D. Nguyen, Jiawei Huang, Daifeng Wang:
A deep manifold-regularized learning model for improving phenotype prediction from multi-modal data. Nat. Comput. Sci. 2(1): 38-46 (2022) - [j9]Chirag Gupta, Jielin Xu, Ting Jin, Saniya Khullar, Xiaoyu Liu, Sayali Alatkar, Feixiong Cheng, Daifeng Wang:
Single-cell network biology characterizes cell type gene regulation for drug repurposing and phenotype prediction in Alzheimer's disease. PLoS Comput. Biol. 18(7) (2022) - 2021
- [j8]Ting Jin, Nam D. Nguyen, Flaminia Talos, Daifeng Wang:
ECMarker: interpretable machine learning model identifies gene expression biomarkers predicting clinical outcomes and reveals molecular mechanisms of human disease in early stages. Bioinform. 37(8): 1115-1124 (2021) - [j7]Nam D. Nguyen, Ting Jin, Daifeng Wang:
Varmole: a biologically drop-connect deep neural network model for prioritizing disease risk variants and genes. Bioinform. 37(12): 1772-1775 (2021) - 2020
- [j6]Nam D. Nguyen, Daifeng Wang:
Multiview learning for understanding functional multiomics. PLoS Comput. Biol. 16(4) (2020)
2010 – 2019
- 2018
- [j5]Pedro Alves, Shuang Liu, Daifeng Wang, Mark Gerstein:
Multiple-Swarm Ensembles: Improving the Predictive Power and Robustness of Predictive Models and Its Use in Computational Biology. IEEE ACM Trans. Comput. Biol. Bioinform. 15(3): 926-933 (2018) - [c5]Alisha Kamat, Ting Jin, So Yeon Min, Flaminia Talos, Jonas S. Almeida, Daifeng Wang:
Interpretable Machine Learning Approach Reveals Developmental Gene Expression Biomarkers for Cancer Patient Outcomes at Early Stages. BCB 2018: 510 - [c4]Nam D. Nguyen, Ian Blaby, Daifeng Wang:
A Manifold Learning Based Approach to Reveal the Functional Linkages across Multiple Gene Networks. BCB 2018: 514 - 2016
- [j4]Daifeng Wang, Fei He, Sergei Maslov, Mark Gerstein:
DREISS: Using State-Space Models to Infer the Dynamics of Gene Expression Driven by External and Internal Regulatory Networks. PLoS Comput. Biol. 12(10) (2016) - 2015
- [j3]Daifeng Wang, Koon-Kiu Yan, Cristina Sisu, Chao Cheng, Joel S. Rozowsky, William Meyerson, Mark B. Gerstein:
Loregic: A Method to Characterize the Cooperative Logic of Regulatory Factors. PLoS Comput. Biol. 11(4) (2015) - 2014
- [j2]Alan P. Boyle, Carlos L. Araya, Cathleen Brdlik, Philip Cayting, Chao Cheng, Yong Cheng, Kathryn Gardner, LaDeana W. Hillier, Judith Janette, Lixia Jiang, Dionna Kasper, Trupti Kawli, Pouya Kheradpour, Anshul Kundaje, Jingyi Jessica Li, Lijia Ma, Wei Niu, E. Jay Rehm, Joel S. Rozowsky, Matthew Slattery, Rebecca Spokony, Robert Terrell, Dionne Vafeados, Daifeng Wang, Peter Weisdepp, Yi-Chieh Wu, Dan Xie, Koon-Kiu Yan, Elise A. Feingold, Peter J. Good, Michael J. Pazin, Haiyan Huang, Peter J. Bickel, Steven E. Brenner, Valerie Reinke, Robert H. Waterston, Mark Gerstein, Kevin P. White, Manolis Kellis, Michael Snyder:
Comparative analysis of regulatory information and circuits across distant species Open. Nat. 512(7515): 453-456 (2014) - 2013
- [c3]Daifeng Wang, Eric Pan, Gang Fang, Sunita Kumari, Fei He, Doreen Ware, Sergei Maslov, Mark Gerstein:
Comparative network analysis of gene co-expression networks reveals the conserved and species-specific functions of cell-wall related genes between Arabidopsis and Poplar. BCB 2013: 689 - 2012
- [j1]Daifeng Wang, Mia K. Markey, Claus O. Wilke, Ari Arapostathis:
Eigen-Genomic System Dynamic-Pattern Analysis (ESDA): Modeling mRNA Degradation and Self-Regulation. IEEE ACM Trans. Comput. Biol. Bioinform. 9(2): 430-437 (2012)
2000 – 2009
- 2008
- [c2]Sean X. Shi, Anand Ramalingam, Daifeng Wang, David Z. Pan:
Latch Modeling for Statistical Timing Analysis. DATE 2008: 1136-1141 - 2006
- [c1]Daifeng Wang, Brian L. Evans:
Codebook Design for Noncoherent MIMO Communications Via Reflection Matrices. GLOBECOM 2006
Coauthor Index
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