Fu-Ying Dao

According to our database, Fu-Ying Dao authored at least 9 papers between 2019 and 2022.

Collaborative distances:

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

2022

iRice-MS: An integrated XGBoost model for detecting multitype post-translational modification sites in rice.

Hao Lv, Yang Zhang, Jia-Shu Wang, Shi-Shi Yuan, Zi-Jie Sun, Fu-Ying Dao, Zheng-Xing Guan, Hao Lin, Ke-Jun Deng

Briefings Bioinform., 2022

2021

Application of artificial intelligence and machine learning for COVID-19 drug discovery and vaccine design.

Hao Lv, Lei Shi, Joshua William Berkenpas, Fu-Ying Dao, Hasan Zulfiqar, Hui Ding, Yang Zhang, Liming Yang, Renzhi Cao

Briefings Bioinform., 2021

Deep-Kcr: accurate detection of lysine crotonylation sites using deep learning method.

Hao Lv, Fu-Ying Dao, Zheng-Xing Guan, Hui Yang, Yan-Wen Li, Hao Lin

Briefings Bioinform., 2021

DeepYY1: a deep learning approach to identify YY1-mediated chromatin loops.

Fu-Ying Dao, Hao Lv, Dan Zhang, Zi-Mei Zhang, Li Liu, Hao Lin

Briefings Bioinform., 2021

A computational platform to identify origins of replication sites in eukaryotes.

Fu-Ying Dao, Hao Lv, Hasan Zulfiqar, Hui Yang, Wei Su, Hui Gao, Hui Ding, Hao Lin

Briefings Bioinform., 2021

iDHS-Deep: an integrated tool for predicting DNase I hypersensitive sites by deep neural network.

Fu-Ying Dao, Hao Lv, Wei Su, Zi-Jie Sun, Qin-Lai Huang, Hao Lin

Briefings Bioinform., 2021

2020

A comparison and assessment of computational method for identifying recombination hotspots in Saccharomyces cerevisiae.

Hui Yang, Wuritu Yang, Fu-Ying Dao, Hao Lv, Hui Ding, Wei Chen, Hao Lin

Briefings Bioinform., 2020

2019

Identify origin of replication in Saccharomyces cerevisiae using two-step feature selection technique.

Fu-Ying Dao, Hao Lv, Fang Wang, Chao-Qin Feng, Hui Ding, Wei Chen, Hao Lin

Bioinform., 2019

iPhoPred: A Predictor for Identifying Phosphorylation Sites in Human Protein.

Shi-Hao Li, Jun Zhang, Ya-Wei Zhao, Fu-Ying Dao, Hui Ding, Wei Chen, Hua Tang

IEEE Access, 2019