A Novel Approach for Prediction of Multi-Labeled Protein Subcellular Localization for Prokaryotic Bacteria. - Emily Chia-Yu Su; Allan Lo; Chin-Chin Lin; Fu Chang; Wen-Lian Hsu (CSB Workshops, 2005)

Protein subcellular localization prediction based on compartment-specific features and structure conservation. - Emily Chia-Yu Su; Hua-Sheng Chiu; Allan Lo; Jenn-Kang Hwang; Ting-Yi Sung; Wen-Lian Hsu (BMC Bioinform., 2007)

Predicting RNA-binding sites of proteins using support vector machines and evolutionary information. - Cheng-Wei Cheng; Emily Chia-Yu Su; Jenn-Kang Hwang; Ting-Yi Sung; Wen-Lian Hsu (BMC Bioinform., 2008)

Prediction of nuclear proteins using nuclear translocation signals proposed by probabilistic latent semantic indexing. - Emily Chia-Yu Su; Jia-Ming Chang; Cheng-Wei Cheng; Ting-Yi Sung; Wen-Lian Hsu (BMC Bioinform., 2012)

Prediction of B-cell epitopes using evolutionary information and propensity scales. - Scott Lin; Cheng-Wei Cheng; Emily Chia-Yu Su (BMC Bioinform., 2013)

NTTMUNSW BioC modules for recognizing and normalizing species and gene/protein mentions. - Hong-Jie Dai; Onkar Singh; Jitendra Jonnagaddala; Emily Chia-Yu Su (Database J. Biol. Databases Curation, 2016)

BioCreative V BioC track overview: collaborative biocurator assistant task for BioGRID. - Sun Kim; Rezarta Islamaj Dogan; Andrew Chatr-aryamontri; Christie S. Chang; Rose Oughtred; Jennifer M. Rust; Riza Batista-Navarro; Jacob Carter; Sophia Ananiadou; Sérgio Matos; André Santos; David Campos 001; et al. (Database J. Biol. Databases Curation, 2016)

Prediction of HIV-1 protease cleavage site using a combination of sequence, structural, and physicochemical features. - Onkar Singh; Emily Chia-Yu Su (BMC Bioinform., 2016)

ChemiRs: a web application for microRNAs and chemicals. - Emily Chia-Yu Su; Yu-Sing Chen; Yun-Cheng Tien; Jeff Liu; Bing-Ching Ho; Sung-Liang Yu; Sher Singh (BMC Bioinform., 2016)

NTTMU System in the 2nd Social Media Mining for Health Applications Shared Task. - Chen-Kai Wang; Nai-Wun Chang; Emily Chia-Yu Su; Hong-Jie Dai (SMM4H@AMIA, 2017)

Unity is Strength: Improving biomedical classification performance based on ensemble learning approaches. - Emily Chia-Yu Su; Usman Iqbal; Yu-Chuan (Jack) Li (Comput. Methods Programs Biomed., 2017)

Adverse Drug Reaction Post Classification with Imbalanced Classification Techniques. - Chen-Kai Wang; Hong-Jie Dai; Feng-Duo Wang; Emily Chia-Yu Su (TAAI, 2018)

Predicting diabetic retinopathy and identifying interpretable biomedical features using machine learning algorithms. - Hsin-Yi Tsao; Pei-Ying S. Chan; Emily Chia-Yu Su (BMC Bioinform., 2018)

Improving Allergenic Protein Prediction Using Physicochemical Features on Non-Redundant Sequences. - Sher Singh; Jr-Rou Chiu; Kuei-Ling Sun; Emily Chia-Yu Su (ICMLC, 2019)

RNA editing-based classification of diffuse gliomas: predicting isocitrate dehydrogenase mutation and chromosome 1p/19q codeletion. - Sean Chun-Chang Chen; Chung-Ming Lo; Shih-Hua Wang; Emily Chia-Yu Su (BMC Bioinform., 2019)

Improving Dengue Surveillance System with Administrative Claim Data in Indonesia: Opportunities and Challenges. - Atina Husnayain; Anis Fuad; Ida Safitri Laksono; Emily Chia-Yu Su (MIE, 2020)

Co-AMPpred for in silico-aided predictions of antimicrobial peptides by integrating composition-based features. - Onkar Singh; Wen-Lian Hsu; Emily Chia-Yu Su (BMC Bioinform., 2021)

Lightweight deep neural networks for cholelithiasis and cholecystitis detection by point-of-care ultrasound. - Chih-Jui Yu; Hsing-Jung Yeh; Chun-Chao Chang; Jui-Hsiang Tang; Wei-Yu Kao; Wen-Chao Chen; Yi-Jin Huang; Chien-Hung Li; Wei-Hao Chang; Yun-Ting Lin; Herdiantri Sufriyana; Emily Chia-Yu Su (Comput. Methods Programs Biomed., 2021)

Isotypes of autoantibodies against novel differential 4-hydroxy-2-nonenal-modified peptide adducts in serum is associated with rheumatoid arthritis in Taiwanese women. - Kai-Leun Tsai; Che-Chang Chang; Yu-Sheng Chang; Yi-Ying Lu; I-Jung Tsai; Jin-Hua Chen; Sheng-Hong Lin; Chih-Chun Tai; Yi-Fang Lin; Hui-Wen Chang; Ching-Yu Lin; Emily Chia-Yu Su (BMC Medical Informatics Decis. Mak., 2021)

Prescribing Decision Support System for Patient Safety and to Prevent Fraud and Overspending in Indonesian National Health Insurance. - Daniel Chriswinanto Adityo Nugroho; Lukas Chrisantyo; Katherina Adisaputro; Ardhinta Septarda; Yosep Parlindungan Naibaho; Emily Chia-Yu Su (ICMHI, 2023)

Assessing Internet Search Models in Predicting Daily New COVID-19 Cases and Deaths in South Korea. - Atina Husnayain; Emily Chia-Yu Su (MedInfo, 2023)

Prognosticating Fetal Growth Restriction and Small for Gestational Age by Medical History. - Herdiantri Sufriyana; Fariska Zata Amani; Aufar Zimamuz Zaman Al Hajiri; Yu-Wei Wu; Emily Chia-Yu Su (MedInfo, 2023)

Human-guided deep learning with ante-hoc explainability by convolutional network from non-image data for pregnancy prognostication. - Herdiantri Sufriyana; Yu-Wei Wu; Emily Chia-Yu Su (Neural Networks, 2023)

Assessing the Mental Health Impact of COVID-19 on the US Population: A Large-Scale Survey Analysis Using SMOTE. - Chinmayee Rayguru; Emily Chia-Yu Su (ICMHI, 2024)

Dimension reduction and visualization of multiple time series data: a symbolic data analysis approach. - Emily Chia-Yu Su; Han-Ming Wu (Comput. Stat., 2024)

Predictive analysis of COVID-19 occurrence and vaccination impacts across the 50 US states. - Chinmayee Rayguru; Atina Husnayain; Hua-Sheng Chiu; Pavel Sumazin; Emily Chia-Yu Su (Comput. Biol. Medicine, 2025)

rmlnomogram: An R package to construct an explainable nomogram for any machine learning algorithms. - Herdiantri Sufriyana; Emily Chia-Yu Su (CoRR, 2025)