miRNomics: MicroRNA Biology and Computational Analysis
| Corporate Author: | |
|---|---|
| Other Authors: | , |
| Summary: | XII, 333 p. 69 illus., 1 illus. in color. text |
| Language: | English |
| Published: |
Totowa, NJ :
Humana Press : Imprint: Humana,
2014.
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| Edition: | 1st ed. 2014. |
| Series: | Methods in Molecular Biology,
1107 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-1-62703-748-8 |
| Format: | Electronic Book |
Table of Contents:
- Introduction to MicroRNAs in Biological Systems
- The Role of MicroRNA's in Biological Processes
- The Role of MicroRNAs in Human Diseases
- Introduction to Bioinformatics
- MicroRNA and Non-Coding RNA Related Date Sources
- High Throughput Approaches for MicroRNA Expression Analysis
- Introduction to Machine Learning
- Introduction to Statistical Methods for MicroRNA Analysis
- Computational Bioinformatics Methods for MicroRNA Gene Prediction
- Machine Learning Methods for MicroRNA Gene Prediction
- Functional, Structural, and Sequence Studies of MicroRNA
- Computational Methods for MicroRNA Target Prediction
- MicroRNA Target and Gene Validation in Viruses and Bacteria
- Gene Reporter Assay to Validate MicroRNA Targets in Drosophila S2 Cells
- Computational Prediction of MicroRNA Function and Activity
- Analysis of MicroRNA Expression using Machine Learning
- MicroRNA Expression Landscapes in Stem Cells, Tissues, and Cancer
- Master Regulators of Post-Transcriptional Gene Expression are Subject to Regulation
- Use of MicroRNAs in Personalized Medicine.