Emily Chia-Yu Su

发表

Data-Driven Approach to Improving the Risk Assessment Process of Medical Failures

Shih-Heng Yu, Emily Chia-Yu Su, Yi-Tui Chen, 2018, International journal of environmental research and public health.

NTTMUNSW BioC modules for recognizing and normalizing species and gene/protein mentions

Emily Chia-Yu Su, Hong-Jie Dai, Onkar Singh, 2016, Database J. Biol. Databases Curation.

Unity is Strength: Improving biomedical classification performance based on ensemble learning approaches

Yu-Chuan Li, Emily Chia-Yu Su, Usman Iqbal, 2017, Comput. Methods Programs Biomed..

PSLDoc: Protein subcellular localization prediction based on gapped‐dipeptides and probabilistic latent semantic analysis

Wen-Lian Hsu, Emily Chia-Yu Su, Ting-Yi Sung, 2008, Proteins.

Improving Dengue Surveillance System with Administrative Claim Data in Indonesia: Opportunities and Challenges

Emily Chia-Yu Su, Anis Fuad, Atina Husnayain, 2020, MIE.

Protein subcellular localization prediction based on compartment-specific features and structure conservation

Wen-Lian Hsu, Emily Chia-Yu Su, Ting-Yi Sung, 2007, BMC Bioinformatics.

NTTMU System in the 2nd Social Media Mining for Health Applications Shared Task

Emily Chia-Yu Su, Hong-Jie Dai, Nai-Wun Chang, 2017, SMM4H@AMIA.

A novel approach for prediction of multi-labeled protein subcellular localization for prokaryotic bacteria

Wen-Lian Hsu, Emily Chia-Yu Su, Allan Lo, 2005, 2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05).

Adverse Drug Reaction Post Classification with Imbalanced Classification Techniques

Emily Chia-Yu Su, Hong-Jie Dai, Feng-Duo Wang, 2018, 2018 Conference on Technologies and Applications of Artificial Intelligence (TAAI).

Improving Allergenic Protein Prediction Using Physicochemical Features on Non-Redundant Sequences

Emily Chia-Yu Su, Sher Singh, Jr-Rou Chiu, 2019, 2019 International Conference on Machine Learning and Cybernetics (ICMLC).

Predicting RNA-binding sites of proteins using support vector machines and evolutionary information

Wen-Lian Hsu, Emily Chia-Yu Su, Ting-Yi Sung, 2008, BMC Bioinformatics.

Prediction of Alzheimer's Disease Based on Blood Biomarkers and Machine Learning Algorithms

Emily Chia-Yu Su, Man-Yun Liu, 2017 .

Predicting diabetic retinopathy and identifying interpretable biomedical features using machine learning algorithms

Emily Chia-Yu Su, Hsin-Yi Tsao, Pei-Ying Chan, 2018, BMC Bioinformatics.

Prediction of B-cell epitopes using evolutionary information and propensity scales

Emily Chia-Yu Su, Scott Lin, Cheng-Wei Cheng, 2013, BMC Bioinformatics.

BioCreative V BioC track overview: collaborative biocurator assistant task for BioGRID

André L. M. Santos, Yifan Peng, Sophia Ananiadou, 2016, Database J. Biol. Databases Curation.

Prediction of nuclear proteins using nuclear translocation signals proposed by probabilistic latent semantic indexing

Wen-Lian Hsu, Emily Chia-Yu Su, Ting-Yi Sung, 2012, BMC Bioinformatics.

Prediction of HIV-1 protease cleavage site using a combination of sequence, structural, and physicochemical features

Emily Chia-Yu Su, Onkar Singh, Onkar Singh, 2016, BMC Bioinformatics.

ChemiRs: a web application for microRNAs and chemicals

Emily Chia-Yu Su, Sung-Liang Yu, Jeff Liu, 2016, BMC Bioinformatics.

Isotypes of autoantibodies against novel differential 4-hydroxy-2-nonenal-modified peptide adducts in serum is associated with rheumatoid arthritis in Taiwanese women

Emily Chia-Yu Su, Yu-Sheng Chang, Kai-Leun Tsai, 2021, BMC Medical Informatics and Decision Making.

Co-AMPpred for in silico-aided predictions of antimicrobial peptides by integrating composition-based features

Wen-Lian Hsu, Emily Chia-Yu Su, Onkar Singh, 2021, BMC Bioinform..

Applications of Google Search Trends for risk communication in infectious disease management: A case study of the COVID-19 outbreak in Taiwan

Emily Chia-Yu Su, Atina Husnayain, E. C. Su, 2020, International Journal of Infectious Diseases.

An Ensemble Algorithm for Sequential Labelling : A Case Study in Chemical Named Entity Recognition

Emily Chia-Yu Su, Hong-Jie Dai, Jitendra Jonnagaddala, 2017 .