Using biclustering algorithms to analyze microarray expression data
碩士 === 國立交通大學 === 資訊科學與工程研究所 === 94 === Finding meaningful clusters of gene expression data has always been one of the most important topics of microarray data analysis. Due to the limitations of conventional clustering algorithms, numerous biclustering methods, with different aims and strategies, h...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2006
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Online Access: | http://ndltd.ncl.edu.tw/handle/34785667425690441437 |