With the increasing availability of omics data and mounting evidence of the usefulness of computational approaches to tackle multi-level data problems in bioinformatics and biomedical research in this post-genomics era, computational biology has been playing an increasingly important role in paving the way as basis for patient-centric healthcare.
Two such areas are: (i) implementing AI algorithms supported by biomedical data would deliver significant benefits/improvements towards the goals of precision medicine (ii) blockchain technology will enable medical doctors to securely and privately build personal healthcare records, and identify the right therapeutic treatments and predict the progression of the diseases.
A follow-up in the publication of our book Computation Methods with Applications in Bioinformatics Analysis (2017), topics in this volume include: clinical bioinformatics, omics-based data analysis, Artificial Intelligence (AI), blockchain, big data analytics, drug discovery, RNA-seq analysis, tensor decomposition and Boolean network.
Sample Chapter(s)
Preface
Chapter 3: Blockchain for Pre-clinical and Clinical Platform with Big Data
Contents:
- Generalized Iterative Modeling for Clinical Omics Data Analysis (Kung-Hao Liang)
- Explainable AI: Mining of Genotype Data Identifies Complex Disease Pathways — Autism Case Studies (Matt Spencer, Saad Khan, Zohreh Talebizadeh, and Chi-Ren Shyu)
- Blockchain for Pre-clinical and Clinical Platform with Big Data (Yin-Wu Chen and Zon-Yin Shae)
- Analysis of Circulating Tumor DNA in Patients with Cancer: A Clinical Perspective (Chi-Chun Yeh and Peter Mu-Hsin Chang)
- Big Data Computation of Drug Design: From the Natural Products to the Transcriptomic-Based Molecular Development (David Agustriawan, Arli Aditya Parikesit, and Rizky Nurdiansyah)
- A Hybrid Approach Integrating Model-Based Method and Gene Functional Similarity for Cluster Analysis of RNA-Seq Data (Ming-Han Chan, Pin-Chen Chou, Rong-Ming Chen, and Rouh-Mei Hu)
- High-Performance Computing for Measurement of Cancer Gene Signatures (Hsueh-Ting Chu)
- High-Performance Computing in Tandem Mass Spectrometry (MS/MS) Data Processing (Li Chuang and Lin Feng)
- Analysis of Boolean Networks and Boolean Models of Metabolic Networks (Tatsuya Akutsu)
- Tensor Decomposition Based Unsupervised Feature Extraction Applied to Bioinformatics (Y-h Taguchi)
Readership: This book provides expert coverage on unique and latest advances in bioinformatic research and will be useful for advanced undergraduate and graduate students, computer scientists, computational biologists, bioinformatics and biomedical professionals.
Professor Jeffrey J P Tsai received a PhD degree in Computer Science from the Northwestern University, Evanston, Illinois. He is currently the President of Asia University, Taiwan.
Dr. Tsai was a Professor of Computer Science and the Director of the Distributed Real-Time Intelligent Systems Laboratory at the University of Illinois, Chicago. He was also an Adjunct Professor at Tulane University, a Visiting Professor at Stanford University, a Visiting Scholar at the University of California at Berkeley, and a Senior Research Fellow of IC2 at the University of Texas at Austin.
His research interests include bioinformatics, big data, distributed real-time systems, knowledge-based software engineering, formal modeling and verification. His research has been supported by United States (US) National Science Foundation (NSF), Defense Advanced Research Projects Agency (DARPA), United States Air Force (USAF) Rome Laboratory, Department of Defense, Army Research Laboratory, Motorola, Fujitsu, and Gtech. The technology on knowledge-based software engineering developed by him and his research team resulted in the world-first complete transformation of an embedded software product in 1993 and is now used to produce communication software systems worldwide. Tsai coauthored Knowledge-Based Software Development for Real-Time Distributed Systems (World Scientific, 1993), Distributed Real-Time Systems (Wiley, 1996), Compositional Verification of Concurrent and Real-Time Systems (Springer/Kluwer, 2002), Security Modeling and Analysis of Mobile Agent Systems (Imperial College Press, 2006), Intrusion Detection: A Machine Learning Approach (Imperial College Press, 2010), and coedited Monitoring and Debugging of Distributed Real-Time Systems (IEEE Computer Society Press, 1995), Machine Learning Applications in Software Engineering (World Scientific, 2005), Ubiquitous Intelligence and Computing (Springer, 2006), Machine Learning in Cyber Trust: Security, Privacy, Reliability (Springer, 2009).
Tsai was the Conference Co-Chair of the 16th IEEE International Symposium on Software Reliability Engineering, the 9th IEEE International Symposium on Multimedia, the 1st IEEE International Conference on Sensor Networks, Ubiquitous and Trustworthy Computing, and the 3rd IFIP International Conference on Ubiquitous Intelligence and Computing. From 2000 to 2003, Dr. Tsai chaired the IEEE/CS Technical Committee on Multimedia Computing and served on the steering committee of the IEEE Transactions on Multimedia. He was an Associate Editor of the IEEE Transactions on Knowledge and Data Engineering, and IEEE Transactions on Services Computing. He is also the co-Editor-in-Chief of the International Journal on Artificial Intelligence Tools and book series on Health Informatics.
Dr Tsai has served on the IEEE Distinguished Speaker program, US DARPA Innovative Space Based Radar Antenna Technology (ISAT) working group, and on the review panel for US NSF and National Institutes of Health (NIH). He received an Engineering Foundation Research Award from the IEEE and the Engineering Foundation Society, a University Scholar Award from the University of Illinois Foundation, an IEEE Technical Achievement Award and an IEEE Meritorious Service Award from the IEEE Computer Society. He is a Fellow of the American Association for the Advancement of Science (AAAS), the Institute of Electrical and Electronics Engineers (IEEE), and the Society for Design and Process Science (SDPS).
Dr Ka-Lok Ng received the Honors diploma in Physics from Hong Kong Baptist College in 1983, and the PhD degree in theoretical elementary particle physics from the Vanderbilt University, US, in 1990. He is currently the Distinguished Professor at the Department of Bioinformatics and Medical Engineering, Asia University, Taiwan. Beginning from December 2009, he served on the Editorial Board of several international journals. He was the Editor-in-Chief (2010–2014) of the World Scientific and Engineering Academy and Society (WSEAS) Transactions of Biology and Biomedicine.
He was the Conference Program Co-Chair of the IEEE International Conference on BioInformatics and BioEngineering and IAENG International Conference of Bioinformatics. Dr. Ng has served on the program committee of several well-known bioinformatics conferences: International Conference on Genome Informatics (GIW), Asia Pacific Bioinformatics Conference (APBC) and International Conference on Bioinformatics (InCoB). He has served on the invited speaker program of the International Association of Engineers (IAENG) International Conference of Bioinformatics since the last four years.
Furthermore, Dr Ng is also actively involved in reviewing manuscripts for international leading journals such as Bioinformatics and Nature Scientific Reports.
His research has been supported by the Ministry of Science and Technology of Taiwan, Asia University and China Medical University.
Dr Ng publishes articles in highly ranked journals, in the areas of systems biology, drug repositioning, role of epigenetics in cancer biology, protein function prediction and DNA data hiding method. His research interest include system biology, cancer biology, multi-omics data analysis and cosmology.
