Yang Wang

发表

Seq-SymRF: a random forest model predicts potential miRNA-disease associations based on information of sequences and clinical symptoms

Qixing Huang, Zhanchao Li, Zong Dai, 2020, Scientific Reports.

HydLoc: A tool for hydroxyproline and hydroxylysine sites prediction in the human proteome

Zhanchao Li, Zong Dai, Xiaoyong Zou, 2020 .

Seq-SymRF: a random forest model predicts potential miRNA-disease associations based on information of sequences and clinical symptoms

Qixing Huang, Zhanchao Li, Zong Dai, 2019, Scientific Reports.

Sandwich immunoassay coupled with isothermal exponential amplification reaction: An ultrasensitive approach for determination of tumor marker MUC1.

Zhanchao Li, Zong Dai, Xiaoyong Zou, 2019, Talanta.

Predicting the binding affinities of compound–protein interactions by random forest using network topology features

Yun Xie, Li Zhang, Yang Wang, 2018 .

Polymerization retardation isothermal amplification strategy enables the sensitive and facile investigation of the flanking sequence preference of ten-eleven translocation 2 protein.

Zong Dai, Xiaoyong Zou, Yang Wang, 2020, Analytica chimica acta.

Polymerization retardation isothermal amplification (PRIA): a strategy enables sensitively quantify genome-wide 5-methylcytosine oxides rapidly on handy instruments with nanoscale sample input

Zong Dai, Xiaoyong Zou, Yuzhi Xu, 2019, Nucleic acids research.

A deep learning approach to identify association of disease–gene using information of disease symptoms and protein sequences

Yang Wang, Xingyu Chen, Zhanchao Li, 2020 .

Performance improvement for a 2D convolutional neural network by using SSC encoding on protein–protein interaction tasks

Zhanchao Li, Zong Dai, Xiaoyong Zou, 2021, BMC Bioinformatics.

Performance improvement for a 2D convolutional neural network by using SSC encoding on protein–protein interaction tasks

Qixing Huang, Zhanchao Li, Zong Dai, 2021, BMC Bioinformatics.

Identification of Drug-Disease Associations Using Information of Molecular Structures and Clinical Symptoms via Deep Convolutional Neural Network

Yang Wang, Jinlong Li, Qixing Huang, 2020, Frontiers in Chemistry.