Zhaomin Yao

According to our database, Zhaomin Yao authored at least 8 papers between 2019 and 2024.

Collaborative distances:

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

2024

DeepSF-4mC: A deep learning model for predicting DNA cytosine 4mC methylation sites leveraging sequence features.

Zhaomin Yao, Fei Li, Weiming Xie, Jiaming Chen, Jiezhang Wu, Ying Zhan, Xiaodan Wu, Zhiguo Wang, Guoxu Zhang

Comput. Biol. Medicine, 2024

2023

GSRNet, an adversarial training-based deep framework with multi-scale CNN and BiGRU for predicting genomic signals and regions.

Gancheng Zhu, Yusi Fan, Fei Li, Annebella Tsz Ho Choi, Zhikang Tan, Yiruo Cheng, Kewei Li, Siyang Wang, Changfan Luo, Hongmei Liu, Gongyou Zhang, Zhaomin Yao, Yaqi Zhang, Lan Huang, Fengfeng Zhou

Expert Syst. Appl., November, 2023

EpiTEAmDNA: Sequence feature representation via transfer learning and ensemble learning for identifying multiple DNA epigenetic modification types across species.

Fei Li, Shuai Liu, Kewei Li, Yaqi Zhang, Meiyu Duan, Zhaomin Yao, Gancheng Zhu, Yutong Guo, Ying Wang, Lan Huang, Fengfeng Zhou

Comput. Biol. Medicine, June, 2023

Fuzzy-VGG: A fast deep learning method for predicting the staging of Alzheimer's disease based on brain MRI.

Zhaomin Yao, Wenxin Mao, Yizhe Yuan, Zhenning Shi, Gancheng Zhu, Wenwen Zhang, Zhiguo Wang, Guoxu Zhang

Inf. Sci., 2023

FC-Ensemble: An Ensemble Data Enhancement Method to Increase the Performance of Analysis the Staging of Alzheimer's Disease Based on Brain MRI.

Zhaomin Yao, Wenxin Mao, Zhiguo Wang, Guoxu Zhang

Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science, 2023

2021

The Reverse Recovery Characteristics of an Improved 3.3-kV CIBH Diode with Local Heavily Doped N++ Regions at the Cathode.

Kai Zhao, Yu Wu, Yueyang Liu, Xintian Zhou, Zhaomin Yao, Yingying Lei

Proceedings of the EITCE 2021: 5th International Conference on Electronic Information Technology and Computer Engineering, Xiamen, China, October 22, 2021

2020

MuscNet, a Weighted Voting Model of Multi-Source Connectivity Networks to Predict Mild Cognitive Impairment Using Resting-State Functional MRI.

Jialiang Li, Zhaomin Yao, Meiyu Duan, Shuai Liu, Fei Li, Haiyang Zhu, Zhiqiang Xia, Lan Huang, Fengfeng Zhou

IEEE Access, 2020

2019

Computerized Diagnosis of Fundus Vascular Structure Based on Predictions of Diabetic Retinopathy Grade and Risk of Macular Edema.

Zhi Liu, Zhaomin Yao, Yankun Cao, Jianhuang Wu

J. Medical Imaging Health Informatics, 2019