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To better adapt to defect detection requirements of the industrial printed matter on the assembly line, this paper proposed a rapid defect detection algorithm. First we improved the Surf algorithm and made better the detection of the feature point performance and speed effectively; Second, a new FIFO feature point matching algorithm was introduced that could save feature matching time about 50%; Finally...
In this paper, an effective promoter identification algorithm is proposed. This new algorithm is based on the following features of promoters: (I) Promoter regions include some binding sites where RNA polymerase II binds to and also where transcription starts. These binding sites include core-promoter, like TATA-box, GC-box, i.e. However, spacing structure of binding sites is not always consistent,...
Gene expression data analysis is very important for the research on gene regulatory mechanisms. Genes which exhibit similar patterns are often functionally related. In this paper a novel bicluster detection method is proposed. Its advantage lies in it can not only make use of the traditional data clustering methods, but also form a systemic architecture. The whole processing procedure can be divided...
Cluster analysis is an important tool for discovering the structures and patterns hidden in gene expression data. In this paper, a new algorithm for clustering gene expression profiles is proposed. In this method, we find natural clusters in the data based on a competitive learning strategy. Using partially known modes as constraints in our method, we reduce the sensitivity of the clustering procedure...
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