Baoshan Chen

According to our database, Baoshan Chen authored at least 9 papers between 1996 and 2024.

Collaborative distances:

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

2024

A DEM-MBD based method for regulating transfer flux in the supply and discharge of cane seed particles.

Biao Zhang, Jingyun Wang, Xinsan Yang, Baoshan Chen

Comput. Electron. Agric., 2024

2022

LDICDL: LncRNA-Disease Association Identification Based on Collaborative Deep Learning.

Wei Lan, Dehuan Lai, Qingfeng Chen, Ximin Wu, Baoshan Chen, Jin Liu, Jianxin Wang, Yi-Ping Phoebe Chen

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

2021

ILDMSF: Inferring Associations Between Long Non-Coding RNA and Disease Based on Multi-Similarity Fusion.

Qingfeng Chen, Dehuan Lai, Wei Lan, Ximin Wu, Baoshan Chen, Jin Liu, Yi-Ping Phoebe Chen, Jianxin Wang

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

2020

CircR2Cancer: a manually curated database of associations between circRNAs and cancers.

Wei Lan, Mingrui Zhu, Qingfeng Chen, Baoshan Chen, Jin Liu, Min Li, Yi-Ping Phoebe Chen

Database J. Biol. Databases Curation, 2020

2017

Exploring Consensus RNA Substructural Patterns Using Subgraph Mining.

Qingfeng Chen, Chaowang Lan, Baoshan Chen, Lusheng Wang, Jinyan Li, Chengqi Zhang

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Using propensity scores to predict the kinases of unannotated phosphopeptides.

Qingfeng Chen, Yiqi Wang, Baoshan Chen, Chengqi Zhang, Lusheng Wang, Jinyan Li

Knowl. Based Syst., 2017

2016

Depth-First Search Encoding of RNA Substructures.

Qingfeng Chen, Chaowang Lan, Jinyan Li, Baoshan Chen, Lusheng Wang, Chengqi Zhang

Proceedings of the Intelligent Computing Theories and Application, 2016

1996

Machine vision recognition of fuzzy objects using a new fuzzy neural network.

Baoshan Chen, Lawrence L. Hoberock

Proceedings of the 1996 IEEE International Conference on Robotics and Automation, 1996

A fuzzy neural network architecture for fuzzy control and classification.

Baoshan Chen, Lawrence L. Hoberock

Proceedings of International Conference on Neural Networks (ICNN'96), 1996