Daifeng Wang

According to our database, Daifeng Wang authored at least 22 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Development of a Standing Support Arm with PPO Method for a Robotic Wheelchair.

Daifeng Wang, Wenjing Cao, Atsuo Takanishi

Proceedings of the 10th International Conference on Mechatronics and Robotics Engineering, 2024

A Standing Support Arm Design for Robotic Wheelchairs Using PPO-Based RL Strategy.

Daifeng Wang, Wenjing Cao, Atsuo Takanishi

Proceedings of the 16th International Conference on Computer and Automation Engineering, 2024

2023

MANGEM: A web app for multimodal analysis of neuronal gene expression, electrophysiology, and morphology.

Robert Hermod Olson, Noah Cohen Kalafut, Daifeng Wang

Patterns, November, 2023

Dual-Quaternion-Based SLERP MPC Local Controller for Safe Self-Driving of Robotic Wheelchairs.

Daifeng Wang, Wenjing Cao, Atsuo Takanishi

Robotics, October, 2023

Joint variational autoencoders for multimodal imputation and embedding.

Noah Cohen Kalafut, Xiang Huang, Daifeng Wang

Nat. Mac. Intell., June, 2023

Motion Planning for a Robotic Wheelchair with SLERP MPC Local Planner.

Daifeng Wang, Wenjing Cao, Bo Zhang, Masakazu Mukai

Proceedings of the 62nd Annual Conference of the Society of Instrument and Control Engineers, 2023

2022

Single-cell network biology characterizes cell type gene regulation for drug repurposing and phenotype prediction in Alzheimer's disease.

Chirag Gupta, Jielin Xu, Ting Jin, Saniya Khullar, Xiaoyu Liu, Sayali Alatkar, Feixiong Cheng, Daifeng Wang

PLoS Comput. Biol., 2022

A deep manifold-regularized learning model for improving phenotype prediction from multi-modal data.

Nam D. Nguyen, Jiawei Huang, Daifeng Wang

Nat. Comput. Sci., 2022

An integrated brain-specific network identifies genes associated with neuropathologic and clinical traits of Alzheimer's disease.

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

Briefings Bioinform., 2022

2021

Varmole: a biologically drop-connect deep neural network model for prioritizing disease risk variants and genes.

Nam D. Nguyen, Ting Jin, Daifeng Wang

Bioinform., 2021

ECMarker: interpretable machine learning model identifies gene expression biomarkers predicting clinical outcomes and reveals molecular mechanisms of human disease in early stages.

Ting Jin, Nam D. Nguyen, Flaminia Talos, Daifeng Wang

Bioinform., 2021

2020

Multiview learning for understanding functional multiomics.

Nam D. Nguyen, Daifeng Wang

PLoS Comput. Biol., 2020

2018

Multiple-Swarm Ensembles: Improving the Predictive Power and Robustness of Predictive Models and Its Use in Computational Biology.

Pedro Alves, Shuang Liu, Daifeng Wang, Mark Gerstein

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

A Manifold Learning Based Approach to Reveal the Functional Linkages across Multiple Gene Networks.

Nam D. Nguyen, Ian Blaby, Daifeng Wang

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

Interpretable Machine Learning Approach Reveals Developmental Gene Expression Biomarkers for Cancer Patient Outcomes at Early Stages.

Alisha Kamat, Ting Jin, So Yeon Min, Flaminia Talos, Jonas S. Almeida, Daifeng Wang

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2016

DREISS: Using State-Space Models to Infer the Dynamics of Gene Expression Driven by External and Internal Regulatory Networks.

Daifeng Wang, Fei He, Sergei Maslov, Mark Gerstein

PLoS Comput. Biol., 2016

2015

Loregic: A Method to Characterize the Cooperative Logic of Regulatory Factors.

Daifeng Wang, Koon-Kiu Yan, Cristina Sisu, Chao Cheng, Joel S. Rozowsky, William Meyerson, Mark B. Gerstein

PLoS Comput. Biol., 2015

2014

Comparative analysis of regulatory information and circuits across distant species Open.

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

Nat., 2014

2013

Comparative network analysis of gene co-expression networks reveals the conserved and species-specific functions of cell-wall related genes between Arabidopsis and Poplar.

Daifeng Wang, Eric Pan, Gang Fang, Sunita Kumari, Fei He, Doreen Ware, Sergei Maslov, Mark Gerstein

Proceedings of the ACM Conference on Bioinformatics, 2013

2012

Eigen-Genomic System Dynamic-Pattern Analysis (ESDA): Modeling mRNA Degradation and Self-Regulation.

Daifeng Wang, Mia K. Markey, Claus O. Wilke, Ari Arapostathis

IEEE ACM Trans. Comput. Biol. Bioinform., 2012

2008

Latch Modeling for Statistical Timing Analysis.

Sean X. Shi, Anand Ramalingam, Daifeng Wang, David Z. Pan

Proceedings of the Design, Automation and Test in Europe, 2008

2006

Codebook Design for Noncoherent MIMO Communications Via Reflection Matrices.

Daifeng Wang, Brian L. Evans

Proceedings of the Global Telecommunications Conference, 2006. GLOBECOM '06, San Francisco, CA, USA, 27 November, 2006