Texture analysis in gel electrophoresis images using an integrative kernel-based approach

How to cite this article: Fernandez-Lozano, C. et al. Texture analysis in gel electrophoresis images using an integrative kernel-based approach. Sci. Rep. 5, 19256; doi: 10.1038/srep19256 (2015). <br>In order to generate the dataset, ten 2-DE images of different types of tissues and different experimental conditions were used. For each image out of these ten 100 regions of interest (ROI), 50 spots representing proteins and 50 representing noise (noise, background, non-protein regions) manually segmented that were selected to build a training set with 1000 samples and 274 textural features. We preprocess this dataset in order to have a standard normal distribution (a mean of zero and a standard deviation of one). The dataset is available for download at http://dx.doi.org/10.6084/m9.figshare.1368643 We calculated those features with a specialized software called Mazda. With Mazda it is only possible to define up to 16 regions of interest for each image, so there exist eight (.roi) files for each image. Please refer to Mazda user's manual for the particular instructions to load an image and (.roi) files.

本文引用格式：Fernandez-Lozano, C. 等. 基于集成核方法的凝胶电泳图像纹理分析. 科学报告, 5, 19256; doi: 10.1038/srep19256 (2015).
为构建本数据集，研究人员使用了10幅不同组织类型、不同实验条件下的双向凝胶电泳(2-DE)图像。针对这10幅图像中的每一幅，我们手动分割出100个感兴趣区域(ROI)，其中50个为代表蛋白质的斑点，50个为代表噪声（含背景、非蛋白质区域）的区域，以此构建包含1000个样本的训练集，并提取274个纹理特征。
我们对该数据集进行标准化预处理，使其符合标准正态分布（均值为0，标准差为1）。
本数据集可通过以下链接下载：http://dx.doi.org/10.6084/m9.figshare.1368643。
上述纹理特征通过一款名为Mazda的专业软件进行计算。由于Mazda仅支持为单张图像定义最多16个感兴趣区域，因此每张图像对应8个(.roi)格式文件。若需了解加载图像及(.roi)文件的具体操作步骤，请参阅Mazda用户手册。