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Using artificial neural networks to ...
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Lee, Chi-Chiang.
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Using artificial neural networks to estimate evolutionary parameters.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Using artificial neural networks to estimate evolutionary parameters./
作者:
Lee, Chi-Chiang.
面頁冊數:
33 p.
附註:
Source: Masters Abstracts International, Volume: 48-05, page: 2823.
Contained By:
Masters Abstracts International48-05.
標題:
Biology, Biostatistics. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1476169
ISBN:
9781109772302
Using artificial neural networks to estimate evolutionary parameters.
Lee, Chi-Chiang.
Using artificial neural networks to estimate evolutionary parameters.
- 33 p.
Source: Masters Abstracts International, Volume: 48-05, page: 2823.
Thesis (M.S.)--University of Southern California, 2010.
The rapid growth in the amount of molecular genetic data being collected will, in many cases, require the development of new analytic methods for the analysis of that data. In this thesis, we explore the feasibility of using machine learning algorithms, in particular artificial neural networks, to estimate two evolutionary parameters of great interest: mutation and recombination rates. We show that this is possible, and that the performance of such methods depends crucially upon the existence of good summary statistics appropriate for the given parameter, as well as the format in which the data itself is represented.
ISBN: 9781109772302Subjects--Topical Terms:
1018416
Biology, Biostatistics.
Using artificial neural networks to estimate evolutionary parameters.
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The rapid growth in the amount of molecular genetic data being collected will, in many cases, require the development of new analytic methods for the analysis of that data. In this thesis, we explore the feasibility of using machine learning algorithms, in particular artificial neural networks, to estimate two evolutionary parameters of great interest: mutation and recombination rates. We show that this is possible, and that the performance of such methods depends crucially upon the existence of good summary statistics appropriate for the given parameter, as well as the format in which the data itself is represented.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1476169
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