An Intelligent Hybrid System Applied to Gene Selection and Classification for Ovarian Cancer Microarray Data
碩士 === 華梵大學 === 資訊管理學系碩士班 === 95 === Due to the vigorous development of bioinformatics technology, biochip is more matured and the production cost is decreased significantly. Thus, it is easy to access gene data. However, the data type of microarray is different from the usually statistical data. A...
Main Authors: | Huang Yen Po, 黃彥博 |
---|---|
Other Authors: | 李仁鐘;許成之 |
Format: | Others |
Language: | zh-TW |
Published: |
2007
|
Online Access: | http://ndltd.ncl.edu.tw/handle/53125535683175653222 |
Similar Items
-
Improving Target Gene Selection in Microarray Data of Ovarian CancerImproving Target Gene Selection in Microarray Data of Ovarian CancerImproving Target Gene Selection in Microarray Data of Ovarian CancerImproving Target Gene Selection in Microarray
by: Yen-Cheng Tseng, et al.
Published: (2009) -
Gene Correlation Guided Gene Selection for Microarray Data Classification
by: Dong Yang, et al.
Published: (2021-01-01) -
A hybrid data gravitation based classification algorithm applied to gene expression data
by: Lee, Yen Chin, et al.
Published: (2016) -
A Hybrid Gene Selection Method for Multi-category Tumor Classification using Microarray Data
by: Xiaobo Li, et al.
Published: (2013-12-01) -
A Survey on Hybrid Feature Selection Methods in Microarray Gene Expression Data for Cancer Classification
by: Nada Almugren, et al.
Published: (2019-01-01)