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Integrative pattern recognition tech...

University of Nebraska at Omaha.

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Integrative pattern recognition techniques and their applications to microarray gene profiling data analysis.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Integrative pattern recognition techniques and their applications to microarray gene profiling data analysis./
作者:	Cao, Kajia.
面頁冊數:	172 p.
附註:	Adviser: Qiuming Zhu.
Contained By:	Dissertation Abstracts International68-06B.
標題:	Biology, Bioinformatics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3268784
ISBN:	9780549081982

Integrative pattern recognition techniques and their applications to microarray gene profiling data analysis.
Cao, Kajia.

Integrative pattern recognition techniques and their applications to microarray gene profiling data analysis. - 172 p.

Adviser: Qiuming Zhu.

Thesis (Ph.D.)--University of Nebraska at Omaha, 2007.

Keywords. Pattern Recognition, Microarray Gene Analysis, Uncertainty Reasoning, Classification, Gene Set Analysis

ISBN: 9780549081982Subjects--Topical Terms:

1018415
Biology, Bioinformatics.

Integrative pattern recognition techniques and their applications to microarray gene profiling data analysis.
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100 1 $a Cao, Kajia. $3 1029387
245 1 0 $a Integrative pattern recognition techniques and their applications to microarray gene profiling data analysis.
300 $a 172 p.
500 $a Adviser: Qiuming Zhu.
500 $a Source: Dissertation Abstracts International, Volume: 68-06, Section: B, page: 3887.
502 $a Thesis (Ph.D.)--University of Nebraska at Omaha, 2007.
520 $a Keywords. Pattern Recognition, Microarray Gene Analysis, Uncertainty Reasoning, Classification, Gene Set Analysis
520 $a As the development of information technology, database technique is capable of processing and storing more and more large amount of data. On the other hand, the current techniques of discovering and extracting the knowledge hiding in the data and using the extracted knowledge to support decision-making are far from satisfactory. In this thesis, a set of pattern recognition approaches and methodologies are proposed for effective knowledge discovery and uncertainty reasoning from large and complex datasets.
520 $a Recently advances in biotechnology allow researchers to measure expression levels of thousands of genes simultaneously. Analysis of data produced by such experiments offers potential insights into gene functions and regularity mechanisms. There are thousands of methods are proposed to the gene expression data analysis, but the results are various. Uncertainties contained in the dataset may be one of the causes. The methodologies proposed in the thesis attempt to attenuate the effects of such uncertainties by proper association of multi-faceted measurements. Experimental results show that the research is useful on handling the large amount of highly intertwining datasets in knowledge discovery.
590 $a School code: 1060.
650 4 $a Biology, Bioinformatics. $3 1018415
650 4 $a Computer Science. $3 626642
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710 2 $a University of Nebraska at Omaha. $3 1029386
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790 1 0 $a Zhu, Qiuming, $e advisor
791 $a Ph.D.
792 $a 2007
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