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一种新的 DNA 微阵列网格化方法。

A new method for gridding DNA microarrays.

机构信息

School of Electrical and Computer Engineering, National Technical University of Athens, Greece.

出版信息

Comput Biol Med. 2013 Oct;43(10):1303-12. doi: 10.1016/j.compbiomed.2013.06.005. Epub 2013 Jul 2.

Abstract

In this paper, a new methodological scheme for the gridding of DNA microarrays is proposed. The scheme composes of a series of processes applied sequentially. Each DNA microarray image is pre-processed to remove any noise and the center of each spot is detected using a template matching algorithm. Then, an initial gridding is automatically placed on the DNA microarray image by 'building' rectangular pyramids around the detected spots' centers. The gridlines "move" between the pyramids, horizontally and vertically, forming this initial grid. Furthermore, a refinement process is applied composing of a five-step approach in order to correct gridding imperfections caused by its initial placement, both in non-spot cases and in more than one spot enclosure cases. The proposed gridding scheme is applied on DNA microarray images under known transformations and on real-world DNA data. Its performance is compared against the projection pursuit method, which is often used due to its speed and simplicity, as well as against a state-of-the-art method, the Optimal Multi-level Thresholding Gridding (OMTG). According to the obtained results, the proposed gridding scheme outperforms both methods, qualitatively and quantitatively.

摘要

本文提出了一种新的 DNA 微阵列网格化方法方案。该方案由一系列顺序应用的过程组成。每个 DNA 微阵列图像都经过预处理以去除任何噪声,并使用模板匹配算法检测每个斑点的中心。然后,通过在检测到的斑点中心周围“构建”矩形金字塔,自动在 DNA 微阵列图像上放置初始网格。网格线在金字塔之间水平和垂直移动,形成初始网格。此外,应用细化过程,由五个步骤组成,以纠正由于初始放置引起的网格不完美,无论是在非斑点情况下还是在多个斑点包围情况下。所提出的网格化方案应用于已知变换下的 DNA 微阵列图像和真实世界的 DNA 数据。其性能与由于其速度和简单性而经常使用的投影寻踪方法以及最先进的方法(最佳多级阈值网格化(OMTG))进行了比较。根据获得的结果,所提出的网格化方案在定性和定量方面都优于这两种方法。

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