Daifeng Wang

Orcid: 0000-0001-9190-3704

According to our database1, Daifeng Wang authored at least 20 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
MANGEM: A web app for multimodal analysis of neuronal gene expression, electrophysiology, and morphology.
Patterns, November, 2023

Dual-Quaternion-Based SLERP MPC Local Controller for Safe Self-Driving of Robotic Wheelchairs.
Robotics, October, 2023

Joint variational autoencoders for multimodal imputation and embedding.
Nat. Mac. Intell., June, 2023

Motion Planning for a Robotic Wheelchair with SLERP MPC Local Planner.
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.
PLoS Comput. Biol., 2022

A deep manifold-regularized learning model for improving phenotype prediction from multi-modal data.
Nat. Comput. Sci., 2022

An integrated brain-specific network identifies genes associated with neuropathologic and clinical traits of Alzheimer's disease.
Briefings Bioinform., 2022

2021
Varmole: a biologically drop-connect deep neural network model for prioritizing disease risk variants and genes.
Bioinform., 2021

ECMarker: interpretable machine learning model identifies gene expression biomarkers predicting clinical outcomes and reveals molecular mechanisms of human disease in early stages.
Bioinform., 2021

2020
Multiview learning for understanding functional multiomics.
PLoS Comput. Biol., 2020

2018
Multiple-Swarm Ensembles: Improving the Predictive Power and Robustness of Predictive Models and Its Use in Computational Biology.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

A Manifold Learning Based Approach to Reveal the Functional Linkages across Multiple Gene Networks.
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.
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.
PLoS Comput. Biol., 2016

2015
Loregic: A Method to Characterize the Cooperative Logic of Regulatory Factors.
PLoS Comput. Biol., 2015

2014
Comparative analysis of regulatory information and circuits across distant species Open.
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.
Proceedings of the ACM Conference on Bioinformatics, 2013

2012
Eigen-Genomic System Dynamic-Pattern Analysis (ESDA): Modeling mRNA Degradation and Self-Regulation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

2008
Latch Modeling for Statistical Timing Analysis.
Proceedings of the Design, Automation and Test in Europe, 2008

2006
Codebook Design for Noncoherent MIMO Communications Via Reflection Matrices.
Proceedings of the Global Telecommunications Conference, 2006. GLOBECOM '06, San Francisco, CA, USA, 27 November, 2006


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