Keynote Speech :
Title: Matrix Trifactorization and Convolutional Neural Network Integrating Gene Expression Data and Molecular Networks


Abstract:


Novel methods for integrating different types of "omics" data, from gene expression profiles and sequences biomolecular networks, are promising to not only increase accuracy on disease gene identification but also to shed light on our understanding of complex molecular processes and human diseases.Exhaustive experimental studies have unveiled common roots between certain human diseases and specific mutations and deregulations of noncoding RNAs (ncRNAs). In parallel to these biological discoveries, researchers have developed several computational models to predict ncRNA-disease associations. Here, we integrate sequence information from ncRNAs and proteins with a tripartite molecular network model defined by ncRNA-protein targets and human disease relationships. By using this model, we predict associations between ncRNAs and human diseases. In particular, we devised a variant of the nonnegative matrix trifactorization data integration approach that does not require input information for known ncRNA-disease associations. On the other hand, while convolutional neural network methods have shown its potential in several fields, its application to certain "omics" data such as molecular network structures and gene expression data has been less investigated. Here, we show a novel method that allows us to analyze protein-protein interaction networks integrating transcriptomics data using convolutional neural network techniques. The developed method is then applied to classify cancer samples, showing a better predictive performance than other existing methods.

 Professor Jose Nacher

Professor Jose Nacher

02 Dec 2019 Department of Information Science, Toho University, Japan

Web Link

Keynote Speech :
Title: AI for Safer and Earlier Medicine


Abstract:


TBA

 Professor Li, Yu-Chuan

Professor Li, Yu-Chuan

02 Dec 2019 Distinguished Professor, Graduate Institute of Biomedical Informatics, CoMST, TMU
Dean, College of Medical Science and Technology, Taipei Medical University
Chair, Dept. of Dermatology, Taipei Medical University. Wan Fang Hospital

Web Link

Keynote Speech :
Title: Precision Cancer Diagnosis with Innovative 3D imaging and Digital Pathology


Abstract:


TBA

 Prof Margaret Chang

Professor Margaret Dah-Tsyr Chang

02 Dec 2019 Department of Medical Science, National Tsing Hua University, Taiwan

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