↓ Skip to main content

Bioinformatics in MicroRNA Research

Overview of attention for book
Cover of 'Bioinformatics in MicroRNA Research'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 MicroRNAs, Long Noncoding RNAs, and Their Functions in Human Disease
  3. Altmetric Badge
    Chapter 2 MicroRNA Expression: Protein Participants in MicroRNA Regulation
  4. Altmetric Badge
    Chapter 3 Viral MicroRNAs, Host MicroRNAs Regulating Viruses, and Bacterial MicroRNA-Like RNAs
  5. Altmetric Badge
    Chapter 4 MicroRNAs: Biomarkers, Diagnostics, and Therapeutics
  6. Altmetric Badge
    Chapter 5 Relational Databases and Biomedical Big Data
  7. Altmetric Badge
    Chapter 6 Semantic Technologies and Bio-Ontologies
  8. Altmetric Badge
    Chapter 7 Genome-Wide Analysis of MicroRNA-Regulated Transcripts
  9. Altmetric Badge
    Chapter 8 Computational Prediction of MicroRNA Target Genes, Target Prediction Databases, and Web Resources
  10. Altmetric Badge
    Chapter 9 Exploring MicroRNA::Target Regulatory Interactions by Computing Technologies
  11. Altmetric Badge
    Chapter 10 The Limitations of Existing Approaches in Improving MicroRNA Target Prediction Accuracy.
  12. Altmetric Badge
    Chapter 11 Genomic Regulation of MicroRNA Expression in Disease Development
  13. Altmetric Badge
    Chapter 12 Next-Generation Sequencing for MicroRNA Expression Profile
  14. Altmetric Badge
    Chapter 13 Handling High-Dimension (High-Feature) MicroRNA Data.
  15. Altmetric Badge
    Chapter 14 Effective Removal of Noisy Data Via Batch Effect Processing
  16. Altmetric Badge
    Chapter 15 Logical Reasoning (Inferencing) on MicroRNA Data
  17. Altmetric Badge
    Chapter 16 Machine Learning Techniques in Exploring MicroRNA Gene Discovery, Targets, and Functions
  18. Altmetric Badge
    Chapter 17 Involvement of MicroRNAs in Diabetes and Its Complications
  19. Altmetric Badge
    Chapter 18 MicroRNA Regulatory Networks as Biomarkers in Obesity: The Emerging Role.
  20. Altmetric Badge
    Chapter 19 Expression of MicroRNAs in Thyroid Carcinoma.
Attention for Chapter 6: Semantic Technologies and Bio-Ontologies
Altmetric Badge

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
16 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Semantic Technologies and Bio-Ontologies
Chapter number 6
Book title
Bioinformatics in MicroRNA Research
Published in
Methods in molecular biology, May 2017
DOI 10.1007/978-1-4939-7046-9_6
Pubmed ID
Book ISBNs
978-1-4939-7044-5, 978-1-4939-7046-9
Authors

Fernando Gutierrez

Editors

Jingshan Huang, Glen M. Borchert, Dejing Dou, Jun (Luke) Huan, Wenjun Lan, Ming Tan, Bin Wu

Abstract

As information available through data repositories constantly grows, the need for automated mechanisms for linking, querying, and sharing data has become a relevant factor both in research and industry. This situation is more evident in research fields such as the life sciences, where new experiments by different research groups are constantly generating new information regarding a wide variety of related study objects. However, current methods for representing information and knowledge are not suited for machine processing. The Semantic Technologies are a set of standards and protocols that intend to provide methods for representing and handling data that encourages reusability of information and is machine-readable. In this chapter, we will provide a brief introduction to Semantic Technologies, and how these protocols and standards have been incorporated into the life sciences to facilitate dissemination and access to information.

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 13%
Student > Bachelor 1 6%
Student > Master 1 6%
Unknown 12 75%
Readers by discipline Count As %
Computer Science 2 13%
Chemical Engineering 1 6%
Agricultural and Biological Sciences 1 6%
Unknown 12 75%