Biclustering Algorithms for Microarray Data Book Download

Biclustering Algorithms for Microarray Data PDF
By:Rengeswaran Balamurugan
Published on 2017-10-16 by GRIN Verlag

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Scientific Essay from the year 2017 in the subject Computer Science – Bioinformatics, grade: 3, , language: English, abstract: This survey aims to analyze a large number of existing methods to biclustering, and classify them in accordance with the methods used to perform the search. DNA microarray aims at extracting useful information that can be applied in medical and biological studies. Clustering is one of the most utilized data mining technique to analyze the gene expression data. Generally, there are subsets of genes that behave similarily or under subsets of conditions. Therefore, biclustering is introduced to identify the subgroups of genes and subgroups of conditions by performing simultaneous clustering of both rows and columns of the gene expression matrix, rather than clustering these two dimensions separately. DNA microarray technologies have made it feasible to monitor transcription levels of tens of thousands of genes in a single expriement. A typical DNA microarray experiment involves a multistep procedure: fabrication of microarrays by fixing properly designed oligonucleotides representing specific genes; hybridization of cDNA populations onto the microarray; scanning hybridization signals and image analysis; transformation and normalization of data; and analyzing data to identify differentially expressed genes as well as sets of genes that are co-regulated.

This Book was ranked at 41 by Google Books for keyword medical grade computer.

Book ID of Biclustering Algorithms for Microarray Data’s Books is Hlc6DwAAQBAJ, Book which was written byRengeswaran Balamuruganhave ETAG “530SwVkvVPk”

Book which was published by GRIN Verlag since 2017-10-16 have ISBNs, ISBN 13 Code is 9783668549685 and ISBN 10 Code is 3668549680

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Book which have “11 Pages” is Printed at BOOK under CategoryMedical

Book was written in en

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