基于反转编码器的DNA微阵列图像无损压缩

B. Koc, Z. Arnavut, H. Kocak
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引用次数: 1

摘要

DNA微阵列图像用于识别和监测基因活性或表达。在一次实验中,可以产生大量的微阵列图像。这些图像的存储和归档是研究人员面临的一个重要问题。由于微阵列图像可以有各种各样的几乎随机的模式,没有可辨别的结构,一般的熵编码器,如Bzip2,或一般的图像压缩器,如JPEG-LS,表现不佳。在这项工作中,我们研究了反向编码技术在DNA微阵列图像无损压缩中的性能。我们证明了反转编码优于常用的熵编码器和图像压缩器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lossless compression of DNA Microarray images with Inversion Coder
DNA Microarray images are used to identify and monitor gene activity, or expression. In a single experiment, a large number of microarray images may be produced. Storage and archiving of these images are an important problem for researchers. Since microarray images can have a wide variety of nearly random patterns with no discernible structures, general entropy coders, e.g. Bzip2, or generic image compressors, e.g. JPEG-LS, do not perform well. In this work, we investigate performance of the inversion coding technique in lossless compression of DNA microarray images. We show that inversion coding outperforms commonly used entropy coders and image compressors.
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