Gene Expression Analysis Methods on Microarray Data a A Review

Gene Expression Analysis Methods on Microarray Data a A Review

G. V. Padma Raju

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Prof G V Padma Raju

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Dr Srinivasa Rao Peri

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Dr Chandra Sekhar Vasamsetty

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Andhra University

Gene Expression Analysis Methods on Microarray Data a A Review

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Abstract

In recent years a new type of experiments are changing the way that biologists and other specialists analyze many problems. These are called high throughput experiments and the main difference with those that were performed some years ago is mainly in the quantity of the data obtained from them. Thanks to the technology known generically as microarrays, it is possible to study nowadays in a single experiment the behavior of all the genes of an organism under different conditions. The data generated by these experiments may consist from thousands to millions of variables and they pose many challenges to the scientists who have to analyze them. Many of these are of statistical nature and will be the center of this review. There are many types of microarrays which have been developed to answer different biological questions and some of them will be explained later. For the sake of simplicity we start with the most well known ones: expression microarrays.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

G. V. Padma Raju. 2014. \u201cGene Expression Analysis Methods on Microarray Data a A Review\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 14 (GJCST Volume 14 Issue C3): .

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GJCST Volume 14 Issue C3
Pg. 23- 39

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Classification micro array

Submission ReceivedDecember 16, 2013
Peer Review Double Blind
Handling Editor
Accepted January 1, 2014
Published January 15, 2014

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v1.2

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May 27, 2014

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Article Matrices

Total Score: 103

Country: India

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Prof G V Padma Raju, Dr Srinivasa Rao Peri, Dr Chandra Sekhar Vasamsetty (PhD/Dr. count: 0)

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