NCBLAB

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

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

2020

潘永倫

2020

羅尹劭

2020

莊旻凌

2020

蘇祐儀

2020

黃雯瑄

Research topics: Artificial intelligence analysis laboratory screening data to assist diagnosis of colorectal cancer

2021

黃靖晏

Research topics: Using Deep Learning Methods to Survival Interval Prediction for LUAD Patients from RNA-Seq Data

2021

許雅雯

Research topics: A Study of Bladder Cancer Detection by Deep learning approaches with Urine Routine