Introduction to Statistical Methods for MicroRNA Analysis
| العنوان: | Introduction to Statistical Methods for MicroRNA Analysis |
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| المؤلفون: | Erdal Cosgun, Gokmen Zararsiz |
| المصدر: | miRNomics: MicroRNA Biology and Computational Analysis ISBN: 9781627037471 miRNomics: MicroRNA Biology and Computational Analysis |
| بيانات النشر: | Humana Press, 2013. |
| سنة النشر: | 2013 |
| مصطلحات موضوعية: | Genetics, microRNA, SNP, Computational biology, Differential expression, Biology, Cluster analysis, Microrna profiling, Expression (mathematics) |
| الوصف: | MicroRNA profiling is an important task to investigate miRNA functions and recent technologies such as microarray, single nucleotide polymorphism (SNP), quantitative real-time PCR (qPCR), and next-generation sequencing (NGS) have played a major role for miRNA analysis. In this chapter, we give an overview on statistical approaches for gene expressions, SNP, qPCR, and NGS data including preliminary analyses (pre-processing, differential expression, classification, clustering, exploration of interactions, and the use of ontologies). Our goal is to outline the key approaches with a brief discussion of problems avenues for their solutions and to give some examples for real-world use. Readers will be able to understand the different data formats (expression levels, sequences etc.) and they will be able to choose appropriate methods for their own research and application. On the other hand, we give brief notes on most popular tools/packages for statistical genetic analysis. This chapter aims to serve as a brief introduction to different kinds of statistical methods and also provides an extensive source of references. |
| ردمك: | 978-1-62703-747-1 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_________::a20c36840db83819a7d06c74ea5d252cTest https://doi.org/10.1007/978-1-62703-748-8_8Test |
| حقوق: | CLOSED |
| رقم الانضمام: | edsair.doi...........a20c36840db83819a7d06c74ea5d252c |
| قاعدة البيانات: | OpenAIRE |
| ردمك: | 9781627037471 |
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