Book
Methods of analysis and meta-analysis for identifying differentially expressed genes
| العنوان: | Methods of analysis and meta-analysis for identifying differentially expressed genes |
|---|---|
| المؤلفون: | Kontou P.I., Pavlopoulou A., Bagos P.G. |
| المصدر: | Methods in Molecular Biology ; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048258774&doi=10.1007%2f978-1-4939-7868-7_12&partnerID=40&md5=79ef73adba8156135473f7573188ae5b |
| سنة النشر: | 2018 |
| المجموعة: | University of Thessaly Institutional Repository / Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας |
| مصطلحات موضوعية: | Bayes theorem, binding affinity, differentially expressed gene, DNA microarray, expression vector, gene expression, gene expression profiling, gene function, gene identification, human, Markov chain, measurement accuracy, microarray analysis, sensitivity and specificity, biological model, gene expression regulation, genetic association study, genetic predisposition, meta analysis, procedures, statistical model, transcriptome, Genetic Association Studies, Genetic Predisposition to Disease, Humans, Models, Genetic, Statistical, Humana Press Inc |
| الوصف: | Microarray approaches are widely used high-throughput techniques to assess simultaneously the expression of thousands of genes under certain conditions and study the effects of certain treatments, diseases, and developmental stages. The traditional way to perform such experiments is to design oligonucleotide hybridization probes that correspond to specific genes and then measure the expression of the genes in order to determine which of them are up- or down-regulated compared to a condition that is used as a control. Hitherto, individual experiments cannot capture the bigger picture of how a biological system works and, therefore, data integration from multiple experimental studies and external data repositories is necessary to understand the function of genes and their expression patterns under certain conditions. Therefore, the development of methods for handling, integrating, comparing, interpreting and visualizing microarray data is necessary. The selection of an appropriate method for analysing microarray datasets is not an easy task. In this chapter, we provide an overview of the various methods developed for microarray data analysis, as well as suggestions for choosing the appropriate method for microarray meta-analysis. © 2018, Springer Science+Business Media, LLC, part of Springer Nature. |
| نوع الوثيقة: | book part |
| اللغة: | English |
| تدمد: | 10643745 |
| Relation: | http://hdl.handle.net/11615/75104 |
| DOI: | 10.1007/978-1-4939-7868-7_12 |
| الاتاحة: | http://hdl.handle.net/11615/75104 https://doi.org/10.1007/978-1-4939-7868-7_12 |
| رقم الانضمام: | edsbas.249FC5B |
| قاعدة البيانات: | BASE |
| تدمد: | 10643745 |
|---|---|
| DOI: | 10.1007/978-1-4939-7868-7_12 |