Statistical Techniques for Microarray Technology
Keywords:cDNA microarray, Gene expression data, mixed Guassian
AbstractMicroarray technology enable researchers to measure the expression levels for thousands of genes simultaneously. This paper describes the microarray technology and general methodology for the analysis of differential gene expression data from microarray experiments. First, we will provide a review of basic microarray concepts and an overview of some of the major statistical developments in microarray data analysis. In this work, we propose the two component Mixed Gaussian distribution as an approximation for the log-ratios of the measured gene expression across genes.
Download data is not yet available.
How to Cite
Punathumparambath, B., George, S., & V.M., K. (2011). Statistical Techniques for Microarray Technology. Journal of Informatics and Mathematical Sciences, 3(3), 257–275. https://doi.org/10.26713/jims.v3i3.56
LicenseAuthors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a CCAL that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.