Yen-Wei Chu Professor (朱彥煒) |
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|---|---|
| : ywchu@nchu.edu.tw | |
| Lab | : Natural Computing & Bioinformatics Laboratory |
| Office | : Health Inspection and Quarantine Building, Room 704 |
| Lab Location | : Health Inspection and Quarantine Building, Room 706 |
| Office Tel | : (04)22840338 # 7041 |
| Lab Tel | : (04)22840338 # 7061 |
| Fax | : (04)22859329 |
Ph.D students
2017
周宗翰
Research field:
2017
林淑媛
Research field: Vergence–Accommodation Conflicts (VAC)
2018
林士桓
Research field:
2018
簡靖軒
Research field:
2019
李悅怡
Research field: Predicting pesticides dermal absorption by in silico methods
2020
楊子慶
Research field: Artificial intelligence tuberculosis chest X-ray
2021
陳映璿
Research field: drugs, heart defects, congenital, hormones, pregnancy
2021
黃嵐英
Research field:
2021
王敏嫻
Research field:
Master students
2019
呂家丞
Research topics: Artificial intelligence predicting circRNA-disease associations
2020
蔡琍雲
Research field: dementias, protein sequences, machine learning
2020
陳沛柔
Research field: chest x-ray, tuberculosis, deep learning
2020
傅佳瑄
Research field: klebsiella pneumonia, antibiotic resistance, machine learning
2021
林育均
Research field: stomach cancer, pathological section, deep learning
2021
黃靖晏
Research field: lung adenocarcinoma, survival time, RNA-seq, machine learning
2021
許雅雯
Research field: bladder cancer, data analysis, data mining algorithms
2021
陳安沀
Research field: schizophrenia, brain Magnetic Resonance Imaging (MRI), neural engineering
2021
蕭妤帆
Research field: Antimicrobial Peptide Classification, microorganism
2022
葉韋毅
Research topics: The Prediction of Ubiquitination Sites via Artificial Intelligence
2022
范姜雲萱
Research topics: Smart Agriculture, Lactation Prediction
2022
林祐嶙
Research topics: Glioma, GABAergic pathway, Glutamate pathway
In-service master’s program
2020
梁遠芬
2020
潘永倫
2020
蕭德旺
2020
劉韋廷
2020
羅尹劭
2020
莊旻凌
2020
蘇祐儀
2020
黃雯瑄
Undergraduate
Lab faculty
2018研究助理
梁育臺
2020研究助理
楊采婕
2022研究助理
林宗諄
Graduated Ph.D students
2012
陳啟瑋
Research topics: A Study of the Host-targeted Antivirals Discovery by Biomedical Informatics Approaches
2016
張凱博
Research topics: A Novel Data Mining Framework for Pathology Reports: An Example of the Retrieval and Analysis of Breast Cancer
Graduated Master Students
2006
謝昆璋
Research topics: Applying Sequence Conservation Strategy to Predict Protein Phosphorylation Sites
2006
吳宥廷
Research topics: Protein Phosphorylation Sites Prediction Using Data Fusion Approach
2008
張栢彰
Research topics: Designing High Efficacy siRNAs with Integrating Machine Learning and Traditional Sequence Features Selecting Method
2008
林傑倫
Research topics: A Study of Influence of Single Amino Acid Mutation on Protein Stability: Using Data Fusion Strategy
2008
詹憫正
Research topics: The Classification Prediction of MADS-box Genes on Angiosperms Using SVM and the Construction of Related Websites
2008
丁羿嫣
Research topics: Study on Fluorescence Intensity Change of Calcium Concentration in Neuron Cells Using Association Rules and Artificial Neural Network
2009
潘偉傑
Research topics: siRNA Efficacy Prediction Using Various Characteristic Methods
2009
莫士逸
Research topics: Predicting Lysine Acetylation Site Based on Protein Domain Information and Multilevel Support Vector Machines
2009
曾毓婷
Research topics: Probabilistic Model of Human Isoform Interaction Network
2010
陳啟瑋
Research topics: Protein Citrullination Sites Prediction Using Machine Learning and Model Selection
2010
何承偉
Research topics: Predicting protein stability changes by K-star with regular-mRMR feature selection
2010
張浩禎
Research topics: Gelatinase Substrate Cleavage Sites Prediction Using Machine Learning and Feature Selection
2010
何紹瑜
Research topics: Protein Quaternary Structure Classification: Using Bootstrapping for Model Selection
2011
孫翰豪
Research topics: Reliable and effective methods to assist predicting human protein subcellular localization
2011
梁恆豪
Research topics: Sequence-based Strategy for structural B-cell epitope prediction
2011
廖家逢
Research topics: Protein phosphorylation sites prediction by GA-aided ant colony system and evaluation strategy of machine learning algorithms
2011
郭任超
Research topics: Quaternary Structure Prediction by the Composition of Block and Functional Domain for Oligomeric Proteins
2011
宋美儀
Research topics: A Database of Protein Phosphorylation in Hepatocellular Carcinoma
2011
劉緯陽
Research topics: Applying Machine Learning Approach to Predict Outcomes of Patients with Upper Ureteral Stones after Extracorporeal Shock Wave Lithotripsy
2012
陳芊螢
Research topics: Using Bioinformatics Methods to Identify PTMs Crosstalk: An Example of Breast Cancer
2012
廖啟州
Research topics: Using machine learning approach to predicting the flanking gene expression activated by CaMV 35S enhancer in T-DNA insertion activation-tagged rice lines
2013
翁麗婷
Research topics: A Study of Universal Vaccine Target Design for Influenza A Viruses by N-linked Glycosylation Sites and B-cell Epitopes
2013
陳柏逢
Research topics: Predicting conformational B-cell epitope based on protein sequence by new feature designing and ensemble learning
2013
李寧
Research topics: Designing a new feature and imbalanced learning model for improving lysine acetylation sites prediction
2013
施雅茹
Research topics: A new design of comprehensive information model for predicting N-, O- and C-linked glycosylation sites
2013
陳冠群
Research topics: An extended iMADS for MADS-box gene classification in orchid by machine learning approach
2014
凃俊豪
Research topics: A tool for the SUMOylation prediction by considering the effects of various post-translational modifications on lysine
2014
王智炫
Research topics: An integrated server for predicting protein stability changes by feature selection and various modules
2015
劉猷楠
Research topics: Prediction of protein quaternary structural attributes through hybrid feature encoding method by using machine learning approach
2015
梁育臺
Research topics: Human microRNA-Target interaction identification by integrating off-th-shelf prediction tools
2015
陳佳君
Research topics: Building a Model for Predicting the Target Gene Expression in Rice T-DNA Insertional Mutants by Machine Learning Approaches
2016
詹貿翔
Research topics: Prediction of Treatment Strategy for Breast Cancer: Cell Counting of CK5/14/E-Cadherin/Ki-67 Triple Immunohistochemical Staining on Breast Cancer Tissue Section
2016
黃冠霖
Research topics: Sequence-Based Prediction of Mutation-Induced Stability Changes with different temperature models
2016
楊宇軒
Research topics: AI Automated Recycling Robot: Combining Deep Learning Approaches and Arduino of the IoT Implementing Platform
2016
王宏名
Research topics: 中老年人藥物與健康保健之認知、態度與行為暨自我效能之探討
2016
簡靖軒
Research topics: A database of protein Phosphorylation and Drug Information of Hepatocellular Carcinoma Biomarkers
2017
林孟函
Research topics: Integrated off-the-shelf Predictor for Protein Stability Changes upon Single Mutation by Various Modules Using Machine Learning
2017
洪瑋辰
Research topics: Building a prediction model for the binding of major histocompatibility complex proteins and peptides
2017
夏良瑜
Research topics: A study of Artificial Intelligence for Prediction on the Risk of Liver Decompensation Induced by Paritaprevir/ Ritonavir/ Ombitasvir Plus Dasabuvir ( ProD) Antiviral
2017
邱竑銘
Research topics: An Application of AI-Aided Diagnosis System for the Treatment and Prognosis Analysis of Cervical Cancer
2017
詹宗翰
Research topics: Predicting Protein N- glycosylation Sites on Imbalanced Data Sets by Using Ensemble Models
2018
何裕程
Research topics: Using pathology images for automated grading of astrocytoma by machine learning
2018
張逸勝
Research topics: Class-Specific Antibody Prediction for Linear B-cell Epitopes by Using Large Scale Features and Machine Learning Approach
2018
吳芳菁
Research topics: A study on the effects of human diseases and plantphysiology by air pollution in Taiwan
2018
柯佩姍
Research topics: Study on the Effect of Metabolic Syndrome from the Perceived Health Status and Health-promoting Behavior of the Nurses of Military Hospitals
2019
黃嵐英
Research topics: Using transfer learning to predict the substrate cleavage site of 3C-like protease
2019
莊勳得
Research topics: Automated grading of astrocytoma: Fusion of deep learning and cell morphology
2019
呂旻芳
Research topics: Using Deep Learning Methods to Survival Interval Prediction for Breast Cancer Patients from RNA-Seq Data
2020
林宗諄
Research field: predictive microbiology, food safety, listeria monocytogenes, machine learning
Graduated Undergraduate
2009
陳柏丞
Research topics: Constructing an analyzed siRNA database
2018
梁文馨
Research topics: HLA class I binding prediction via SVM
2019
曹洧羚
Research topics: Human Disease Related Phosphorylation Sites Prediction via SVM
2020
楊毅
Research topics: 利用支持向量機預測具調控功能的磷酸化位點