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Applications of Monte Carlo signal p...

Columbia University.

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Applications of Monte Carlo signal processing in bioinformatics.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Applications of Monte Carlo signal processing in bioinformatics./
作者:	Liang, Kuo-ching.
面頁冊數:	159 p.
附註:	Adviser: Xiaodong Wang.
Contained By:	Dissertation Abstracts International69-10B.
標題:	Biology, Bioinformatics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=3333390
ISBN:	9780549858508

Applications of Monte Carlo signal processing in bioinformatics.
Liang, Kuo-ching.

Applications of Monte Carlo signal processing in bioinformatics. - 159 p.

Adviser: Xiaodong Wang.

Thesis (Ph.D.)--Columbia University, 2008.

This thesis focuses on the application of Monte Carlo methods to solving problems in bioinformatics. More specifically, we want to be able to translate biological, genomic, and proteomic problems into mathematical problems by modeling them using discrete state-space hidden Markov models. Unknown parameters are modeled with prior distributions, and are estimated jointly with the unknown states. Depending on the type of problem, the model can also be formulated in a batched or sequential manner. We will show that in most cases, even when the problem is batched in nature, the sequential approach will provide better performance, and more efficient in terms of computational complexity. In this thesis, we will present applications of this methodology to problems such as DNA sequence base-calling, discovery of motifs in DNA sequences, phasing of haplotypes for diploid organisms, and the prediction of secondary structure for proteins based on amino acid sequences.

ISBN: 9780549858508Subjects--Topical Terms:

1018415
Biology, Bioinformatics.

Applications of Monte Carlo signal processing in bioinformatics.
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