Chun-Wei Tung

According to our database, Chun-Wei Tung authored at least 21 papers between 2007 and 2024.

Collaborative distances:

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

2024

A novel multitask learning algorithm for tasks with distinct chemical space: zebrafish toxicity prediction as an example.

Run-Hsin Lin, Pinpin Lin, Chia-Chi Wang, Chun-Wei Tung

J. Cheminformatics, December, 2024

Decrypting orphan GPCR drug discovery via multitask learning.

Wei-Cheng Huang, Wei-Ting Lin, Ming-Shiu Hung, Jinq-Chyi Lee, Chun-Wei Tung

J. Cheminformatics, December, 2024

2021

Ensemble learning for predicting ex vivo human placental barrier permeability.

Che-Yu Chou, Pinpin Lin, Jongwoon Kim, Shan-Shan Wang, Chia-Chi Wang, Chun-Wei Tung

BMC Bioinform., 2021

2020

Curation of cancer hallmark-based genes and pathways for in silico characterization of chemical carcinogenesis.

Peir-In Liang, Chia-Chi Wang, Hsien-Jen Cheng, Shan-Shan Wang, Ying-Chi Lin, Pinpin Lin, Chun-Wei Tung

Database J. Biol. Databases Curation, 2020

2018

ChemDIS 2: an update of chemical-disease inference system.

Chun-Wei Tung, Shan-Shan Wang

Database J. Biol. Databases Curation, 2018

An Integrated Web-based System for MEDLINE Analysis: A Case Study of Chronic Kidney Disease.

Yi-Ling Lin, Wei-En Huang, Peir-In Liang, Chun-Wei Tung

Proceedings of the 22nd Pacific Asia Conference on Information Systems, 2018

2017

SkinSensDB: a curated database for skin sensitization assays.

Chia-Chi Wang, Ying-Chi Lin, Shan-Shan Wang, Chieh Shih, Yi-Hui Lin, Chun-Wei Tung

J. Cheminformatics, 2017

2016

Prediction of Proinflammatory Potentials of Engine Exhausts by Integrating Chemical and Biological Features.

Chia-Chi Wang, Ying-Chi Lin, Yuan-Chung Lin, Syu-Ruei Jhang, Chun-Wei Tung

Proceedings of the Bioinformatics and Biomedical Engineering, 2016

2015

ChemDIS: a chemical-disease inference system based on chemical-protein interactions.

Chun-Wei Tung

J. Cheminformatics, 2015

2014

Interpretable prediction of non-genotoxic hepatocarcinogenic chemicals.

Chun-Wei Tung, Jhao-Liang Jheng

Neurocomputing, 2014

TIPdb-3D: the three-dimensional structure database of phytochemicals from Taiwan indigenous plants.

Chun-Wei Tung, Ying-Chi Lin, Hsun-Shuo Chang, Chia-Chi Wang, Ih-Sheng Chen, Jhao-Liang Jheng, Jih-Heng Li

Database J. Biol. Databases Curation, 2014

Acquiring Decision Rules for Predicting Ames-Negative Hepatocarcinogens Using Chemical-Chemical Interactions.

Chun-Wei Tung

Proceedings of the Pattern Recognition in Bioinformatics, 2014

2013

Prediction of Non-genotoxic Hepatocarcinogenicity Using Chemical-Protein Interactions.

Chun-Wei Tung

Proceedings of the Pattern Recognition in Bioinformatics, 2013

2012

PupDB: a database of pupylated proteins.

Chun-Wei Tung

BMC Bioinform., 2012

2011

POPISK: T-cell reactivity prediction using support vector machines and string kernels.

Chun-Wei Tung, Matthias Ziehm, Andreas Kämper, Oliver Kohlbacher, Shinn-Ying Ho

BMC Bioinform., 2011

2009

Predicting protein subnuclear localization using GO-amino-acid composition features.

Wen-Lin Huang, Chun-Wei Tung, Hui-Ling Huang, Shinn-Ying Ho

Biosyst., 2009

2008

Computational identification of ubiquitylation sites from protein sequences.

Chun-Wei Tung, Shinn-Ying Ho

BMC Bioinform., 2008

ProLoc-GO: Utilizing informative Gene Ontology terms for sequence-based prediction of protein subcellular localization.

Wen-Lin Huang, Chun-Wei Tung, Shih-Wen Ho, Shiow-Fen Hwang, Shinn-Ying Ho

BMC Bioinform., 2008

ProLoc-rGO: Using rule-based knowledge with Gene Ontology terms for prediction of protein subnuclear localization.

Wen-Lin Huang, Chun-Wei Tung, Shih-Wen Ho, Shinn-Ying Ho

Proceedings of the 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2008

2007

ProLoc: Prediction of protein subnuclear localization using SVM with automatic selection from physicochemical composition features.

Wen-Lin Huang, Chun-Wei Tung, Hui-Ling Huang, Shiow-Fen Hwang, Shinn-Ying Ho

Biosyst., 2007

POPI: predicting immunogenicity of MHC class I binding peptides by mining informative physicochemical properties.

Chun-Wei Tung, Shinn-Ying Ho

Bioinform., 2007