UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 11
November-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1811A42


Registration ID:
192564

Page Number

343-354

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Title

ANALYSING GENE EXPRESSION USING DATA MINING TECHNIQUES

Abstract

With the rapid development of microarray chip technology, gene expression data are being generated in large throughput. The indispensable task of data mining, as a result, is to effectively and efficiently extract useful biological information discussed above from gene expression data. However, the high-dimensionality and the complex relationships among genes impose great challenges for existing data mining methods. Extensive experimental studies are conducted on synthetic and real-life datasets. The experimental results show the effectiveness and efficiency of our algorithms. While we mainly use gene expression data in our study, our algorithms can also be applied to high-dimensional data of other domains.

Key Words

: Curler and Reg Miner algorithms full space clustering algorithms2 Top-down Clustering microcluster

Cite This Article

"ANALYSING GENE EXPRESSION USING DATA MINING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.343-354, November-2018, Available :http://www.jetir.org/papers/JETIR1811A42.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"ANALYSING GENE EXPRESSION USING DATA MINING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp343-354, November-2018, Available at : http://www.jetir.org/papers/JETIR1811A42.pdf

Publication Details

Published Paper ID: JETIR1811A42
Registration ID: 192564
Published In: Volume 5 | Issue 11 | Year November-2018
DOI (Digital Object Identifier):
Page No: 343-354
Country: NAGAPATTINAM, TAMIL NADU, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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