Yun Xie

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.

Large-scale identification of potential drug targets based on the topological features of human protein-protein interaction network.

Zhanchao Li, Zong Dai, Xiaoyong Zou, 2015, Analytica chimica acta.

Identifying functions of protein complexes based on topology similarity with random forest.

Yan-Hua Lai, Zhanchao Li, Li-Li Chen, 2014, Molecular bioSystems.

Identifying and prioritizing disease-related genes based on the network topological features.

Yan-Hua Lai, Zhanchao Li, Li-Li Chen, 2014, Biochimica et biophysica acta.

Identifying subcellular localizations of mammalian protein complexes based on graph theory with a random forest algorithm.

Yan-Hua Lai, Zhanchao Li, Li-Li Chen, 2013, Molecular bioSystems.

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.

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

Yun Xie, Li Zhang, Yang Wang, 2018 .

Large-scale identification of human protein function using topological features of interaction network

Zhanchao Li, Zhiqing Liu, Wenqian Zhong, 2016, Scientific Reports.

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 .

Identification of drug-target interaction from interactome network with 'guilt-by-association' principle and topology features

Yun Xie, Zong Dai, Zhan-Chao Li, 2016, Bioinform..

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.

Identification of Chemical–Disease Associations Through Integration of Molecular Fingerprint, Gene Ontology and Pathway Information

Zhanchao Li, Zong Dai, Xiaoyong Zou, 2022, Interdisciplinary Sciences: Computational Life Sciences.