Weighted Voting Analysis of DNA Microarray for Gene Selection and Gene Expression Analysis of Two Types of Rats Treated with Aristolochic Acid and Ochratoxin A Drugs

Autor:	Ebrahim Haghir Ebrahimabadi, Saeed Masoum
Rok vydání:	2014
Předmět:	Microarray analysis techniques Aristolochic acid Cancer Computational biology Biology Linear discriminant analysis medicine.disease Bioinformatics chemistry.chemical_compound chemistry Gene expression medicine DNA microarray Gene Selection (genetic algorithm)
Zdroj:	OALib. :1-12
ISSN:	2333-9721 2333-9705
Popis:	DNA microarray is an authoritative method for investigation in various cancer and tumors such as renal cancer. Gene expression data include a huge amount of data that the selection of informative data among it is very difficult. Broadly chemometric methods have been used for statistical analysis of gene expression data and different algorithms are used for gene selection. Weighted voting algorithm (WVA) provides a statistical basis for the selection from an original 15,923 probesets, a limited number of most effective genes in discriminating two types of rats treated with Aristolochic acid (AA) and Ochratoxin A (OTA) drugs, that are two chemical compounds with specially toxic effect for kidney and cause renal cancer. In the next step, diminished microarray data are classified by partial least square discriminant analysis (PLSDA) and support vector machine (SVM) methods. Results show that these methods are efficient and sufficient for classification purpose.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ad62c0c467f18b9f4130d3a5e456752c https://doi.org/10.4236/oalib.1100859 Zobrazit plný text záznamu