Daifeng Wang

25 papers A 1B 1Journal 15Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
ARTEMIS integrates autoencoders and Schrödinger Bridges to predict continuous dynamics of gene expression, cell population, and perturbation from time-series single-cell data.
Bioinform.
Sayali Alatkar, Daifeng Wang
2025 — conf
SegJointGene: Joint Cell Segmentation and Spatially Gene Prioritization by an Iterative Deep Learning Framework.
BCB
Haotian Ma, Daifeng Wang
2024 — conf
A Standing Support Arm Design for Robotic Wheelchairs Using PPO-Based RL Strategy.
ICCAE
Daifeng Wang, Wenjing Cao, Atsuo Takanishi
2024 — conf
Development of a Standing Support Arm with PPO Method for a Robotic Wheelchair.
ICMRE
Daifeng Wang, Wenjing Cao, Atsuo Takanishi
2024 — conf
Enhancing Elderly Mobility with a Quadruped Robot-Led Wheelchair System Based on MPC
ASCC
Daifeng Wang, Wenjing Cao, Hongkang Yu, Itsuki Taima, Atsuo Takanishi
2023 J jnl
Dual-Quaternion-Based SLERP MPC Local Controller for Safe Self-Driving of Robotic Wheelchairs.
Robotics
Daifeng Wang, Wenjing Cao, Atsuo Takanishi
2023 J jnl
Joint variational autoencoders for multimodal imputation and embedding.
Nat. Mac. Intell.
Noah Cohen Kalafut, Xiang Huang, Daifeng Wang
2023 J jnl
MANGEM: A web app for multimodal analysis of neuronal gene expression, electrophysiology, and morphology.
Patterns
Robert Hermod Olson, Noah Cohen Kalafut, Daifeng Wang
2023 — conf
Motion Planning for a Robotic Wheelchair with SLERP MPC Local Planner.
SICE
Daifeng Wang, Wenjing Cao, Bo Zhang, Masakazu Mukai
2022 J jnl
A deep manifold-regularized learning model for improving phenotype prediction from multi-modal data.
Nat. Comput. Sci.
Nam D. Nguyen, Jiawei Huang, Daifeng Wang
2022 J jnl
An integrated brain-specific network identifies genes associated with neuropathologic and clinical traits of Alzheimer's disease.
Briefings Bioinform.
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
2022 J jnl
Single-cell network biology characterizes cell type gene regulation for drug repurposing and phenotype prediction in Alzheimer's disease.
PLoS Comput. Biol.
Chirag Gupta, Jielin Xu, Ting Jin, Saniya Khullar, Xiaoyu Liu, Sayali Alatkar, Feixiong Cheng, Daifeng Wang
2021 J jnl
ECMarker: interpretable machine learning model identifies gene expression biomarkers predicting clinical outcomes and reveals molecular mechanisms of human disease in early stages.
Bioinform.
Ting Jin, Nam D. Nguyen, Flaminia Talos, Daifeng Wang
2021 J jnl
Varmole: a biologically drop-connect deep neural network model for prioritizing disease risk variants and genes.
Bioinform.
Nam D. Nguyen, Ting Jin, Daifeng Wang
2020 J jnl
Multiview learning for understanding functional multiomics.
PLoS Comput. Biol.
Nam D. Nguyen, Daifeng Wang
2018 — conf
A Manifold Learning Based Approach to Reveal the Functional Linkages across Multiple Gene Networks.
BCB
Nam D. Nguyen, Ian Blaby, Daifeng Wang
2018 — conf
Interpretable Machine Learning Approach Reveals Developmental Gene Expression Biomarkers for Cancer Patient Outcomes at Early Stages.
BCB
Alisha Kamat, Ting Jin, So Yeon Min, Flaminia Talos, Jonas S. Almeida, Daifeng Wang
2018 J jnl
Multiple-Swarm Ensembles: Improving the Predictive Power and Robustness of Predictive Models and Its Use in Computational Biology.
IEEE ACM Trans. Comput. Biol. Bioinform.
Pedro Alves, Shuang Liu, Daifeng Wang, Mark Gerstein
2016 J jnl
DREISS: Using State-Space Models to Infer the Dynamics of Gene Expression Driven by External and Internal Regulatory Networks.
PLoS Comput. Biol.
Daifeng Wang, Fei He, Sergei Maslov, Mark Gerstein
2015 J jnl
Loregic: A Method to Characterize the Cooperative Logic of Regulatory Factors.
PLoS Comput. Biol.
Daifeng Wang, Koon-Kiu Yan, Cristina Sisu, Chao Cheng, Joel S. Rozowsky, William Meyerson, Mark B. Gerstein
2014 J jnl
Comparative analysis of regulatory information and circuits across distant species Open.
Nat.
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
2013 — conf
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
Daifeng Wang, Eric Pan, Gang Fang, Sunita Kumari, Fei He, Doreen Ware, Sergei Maslov, Mark Gerstein
2012 J jnl
Eigen-Genomic System Dynamic-Pattern Analysis (ESDA): Modeling mRNA Degradation and Self-Regulation.
IEEE ACM Trans. Comput. Biol. Bioinform.
Daifeng Wang, Mia K. Markey, Claus O. Wilke, Ari Arapostathis
2008 A conf
Latch Modeling for Statistical Timing Analysis.
DATE
Sean X. Shi, Anand Ramalingam, Daifeng Wang, David Z. Pan
2006 B conf
Codebook Design for Noncoherent MIMO Communications Via Reflection Matrices.
GLOBECOM
Daifeng Wang, Brian L. Evans