An Improved Biclustering Algorithm for Gene Expression Data
نویسندگان
چکیده
منابع مشابه
An Improved Biclustering Algorithm for Gene Expression Data
Cheng-Church (CC) biclustering algorithm is the popular algorithm for the gene expression data mining at present. Only find one biclustering can be found at one time and the biclustering that overlap each other can hardly be found when using this algorithm. This article puts forward a modified algorithm for the gene expression data mining that uses the middle biclustering result to conduct the ...
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Microarrays are one of the latest breakthroughs in experimental molecular biology, which provide a powerful tool by which the expression patterns of thousands of genes can be monitored simultaneously and are already producing huge amount of valuable data. The concept of bicluster was introduced by Cheng and Church (2000) to capture the coherence of a subset of genes and a subset of conditions. ...
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ژورنال
عنوان ژورنال: The Open Cybernetics & Systemics Journal
سال: 2014
ISSN: 1874-110X
DOI: 10.2174/1874110x01408011141