4. MicroRNAs: Biomarkers, Diagnostics, and Therapeutics
Weili Huang
5. Relational Databases and Biomedical Big Data
N.H. Nisansa D. de Silva
6. Semantic Technologies and Bio-Ontologies
Fernando Gutierrez
7. Genome-Wide Analysis of MicroRNA-Regulated Transcripts
David Chevalier and Glen M. Borchert
8. Computational Prediction of MicroRNA Target Genes, Target Prediction Databases, and Web Resources
Justin T. Roberts and Glen M. Borchert
9. Exploring MicroRNA::Target Regulatory Interactions by Computing Technologies
Yue Hu, Wenjun Lan, and Daniel Miller
10. The Limitations of Existing Approaches in Improving MicroRNA Target Prediction Accuracy
Rasiah Loganantharaj and Thomas A. Randall
11. Genomic Regulation of MicroRNA Expression in Disease Development
Feng Liu
12. Next Generation Sequencing for MicroRNA Expression Profile
Yue Hu, Wenjun Lan, and Daniel Miller
13. Handling High-Dimension (High-Feature) MicroRNA Data
Yue Hu, Wenjun Lan, and Daniel Miller
14. Effective Removal of Noisy Data Via Batch Effect Processing
Ryan G. Benton
15. Logical Reasoning (Inferencing) on MicroRNA Data
Jingsong Wang
16. Machine Learning Techniques in Exploring MicroRNA Gene Discovery, Targets, and Functions
Sumi Singh, Ryan G. Benton, Anurag Singh, and Anshuman Singh
17. Involvement of MicroRNAs in Diabetes and Its Complications
Bin Wu and Daniel Miller
18. MicroRNA Regulatory Networks as Biomarkers in Obesity: The Emerging Role
Lihua Zhang, Daniel Miller, Qiuping Yang, and Bin Wu
19. Expression of MicroRNAs in Thyroid Carcinoma
Gaohong Zhu, Lijun Xie, and Daniel Miller
This thorough volume provides an in-depth introduction to and discussion of microRNAs (miRs) and their targets, miR functions, and computational techniques applied in miR research, thus serving the need for a comprehensive book focusing on miR target genes, miR regulation mechanisms, miR functions performed in various human diseases, and miR databases/knowledgebases. Without prior knowledge of the area of study, computational biologists, computer scientists, bioinformaticians, bench biologists, as well as clinical investigators will find it easy to follow the techniques in this collection. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that ensures successful results.
Accessible and practical, Bioinformatics in MicroRNA Research functions as an ideal guide for researchers of all backgrounds to explore this vital area of study.