Xiang Cheng

发表

Yanhong Wang, Xiang Cheng, Xuan Xiao, 2011, Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology.

iATC‐mISF: a multi‐label classifier for predicting the classes of anatomical therapeutic chemicals

Kuo-Chen Chou, Xiang Cheng, Xuan Xiao, 2016, Bioinform..

pLoc_bal-mGpos: Predict subcellular localization of Gram-positive bacterial proteins by quasi-balancing training dataset and PseAAC.

Kuo-Chen Chou, Xuan Xiao, Xiang Cheng, 2019, Genomics.

pLoc-mEuk: Predict subcellular localization of multi-label eukaryotic proteins by extracting the key GO information into general PseAAC.

K. Chou, X. Xiao, Xiang Cheng, 2018, Genomics.

Swfoldrate: Predicting protein folding rates from amino acid sequence with sliding window method

X. Xiao, Zhi-cheng Wu, Wei-Zhong Lin, 2013, Proteins.

pLoc_bal-mVirus: predict subcellular localization of multi-label virus proteins by PseAAC and IHTS treatment to balance training dataset.

Kuo-Chen Chou, Xuan Xiao, Xiang Cheng, 2018, Medicinal chemistry (Shariqah (United Arab Emirates)).

pLoc_bal-mEuk: predict subcellular localization of eukaryotic proteins by general PseAAC and quasi-balancing training dataset.

Kuo-Chen Chou, Xuan Xiao, Xiang Cheng, 2019, Medicinal chemistry (Shariqah (United Arab Emirates)).

pLoc_bal-mHum: Predict subcellular localization of human proteins by PseAAC and quasi-balancing training dataset.

Kuo-Chen Chou, Xuan Xiao, Xiang Cheng, 2019, Genomics.

pLoc_bal-mGneg: Predict subcellular localization of Gram-negative bacterial proteins by quasi-balancing training dataset and general PseAAC.

Kuo-Chen Chou, Xuan Xiao, Xiang Cheng, 2018, Journal of theoretical biology.

pLoc-mGneg: Predict subcellular localization of Gram-negative bacterial proteins by deep gene ontology learning via general PseAAC.

Kuo-Chen Chou, Xuan Xiao, Xiang Cheng, 2017, Genomics.

pLoc-mGpos: Incorporate Key Gene Ontology Information into General PseAAC for Predicting Subcellular Localization of Gram-Positive Bacterial Proteins

Kuo-Chen Chou, Xuan Xiao, Xiang Cheng, 2017 .

iATC-mHyb: a hybrid multi-label classifier for predicting the classification of anatomical therapeutic chemicals

Kuo-Chen Chou, Xuan Xiao, Shu-Guang Zhao, 2017, Oncotarget.

pLoc-mVirus: Predict subcellular localization of multi-location virus proteins via incorporating the optimal GO information into general PseAAC.

Kuo-Chen Chou, Xuan Xiao, Xiang Cheng, 2017, Gene.

iATC-mHyb: a hybrid multi-label classifier for predicting the classification of anatomical therapeutic chemicals

Kuo-Chen Chou, Xuan Xiao, Shu-Guang Zhao, 2017, Oncotarget.

Erratum to "pLoc-mVirus: Predict subcellular localization of multi-location virus proteins via incorporating the optimal GO information into general PseAAC" [Gene 628 (2017) 315-321].

K. Chou, X. Xiao, Xiang Cheng, 2017, Gene.

HGDTI: predicting drug–target interaction by using information aggregation based on heterogeneous graph neural network

Wangren Qiu, Xiang Cheng, Xuan Xiao, 2022, BMC bioinformatics.

pLoc_bal‐mAnimal: predict subcellular localization of animal proteins by balancing training dataset and PseAAC

Kuo-Chen Chou, Xiang Cheng, Xuan Xiao, 2018, Bioinform..

iATC-mISF: a multi-label classifier for predicting the classes of anatomical therapeutic chemicals

Kuo-Chen Chou, Xiang Cheng, Xuan Xiao, 2017, Bioinform..

pLoc‐mAnimal: predict subcellular localization of animal proteins with both single and multiple sites

Kuo-Chen Chou, Xiang Cheng, Xuan Xiao, 2017, Bioinform..

pLoc-mHum: predict subcellular localization of multi-location human proteins via general PseAAC to winnow out the crucial GO information

Kuo-Chen Chou, Xiang Cheng, Xuan Xiao, 2018, Bioinform..

pLoc-mPlant: predict subcellular localization of multi-location plant proteins by incorporating the optimal GO information into general PseAAC.

Kuo-Chen Chou, Xuan Xiao, Xiang Cheng, 2017, Molecular bioSystems.

iAMP-CA2L: a new CNN-BiLSTM-SVM classifier based on cellular automata image for identifying antimicrobial peptides and their functional types

Xuan Xiao, Biljana Stamatovic, Yu-Tao Shao, 2021, Briefings Bioinform..

iADRGSE: A Graph-Embedding and Self-Attention Encoding for Identifying Adverse Drug Reaction in the Earlier Phase of Drug Development

Xiang Cheng, Xuan Xiao, Liyi Yu, 2022, International journal of molecular sciences.

HGDTI: predicting drug–target interaction by using information aggregation based on heterogeneous graph neural network

Wangren Qiu, Xiang Cheng, Xuan Xiao, 2022, BMC Bioinformatics.

iDrug-Target: predicting the interactions between drug compounds and target proteins in cellular networking via benchmark dataset optimization approach

Xiang Cheng, Kuo-Chen Chou, Xuan Xiao, 2015, Journal of biomolecular structure & dynamics.

iRNA-2methyl: Identify RNA 2'-O-methylation Sites by Incorporating Sequence-Coupled Effects into General PseKNC and Ensemble Classifier.

Kuo-Chen Chou, Xiang Cheng, Xuan Xiao, 2017, Medicinal chemistry (Shariqah (United Arab Emirates)).

iATC-mISF: a multi-label classifier for predicting the classes of anatomical therapeutic chemicals.

Kuo-Chen Chou, Xuan Xiao, Shu-Guang Zhao, 2017, Bioinformatics.

iATC-mISF: a multi-label classifier for predicting the classes of anatomical therapeutic chemicals.

K. Chou, Xiang Cheng, Shu-Guang Zhao, 2016, Bioinformatics.

Green ceramic body and glaze formulation system

Xiang Cheng, Xuan Xiao, Binxiang Liu, 2011, Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology.

pLoc_bal-mPlant: Predict Subcellular Localization of Plant Proteins by General PseAAC and Balancing Training Dataset.

Kuo-Chen Chou, Xuan Xiao, Xiang Cheng, 2019, Current pharmaceutical design.