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首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >MaSDA: a system for analyzing mass spectrometry data.
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MaSDA: a system for analyzing mass spectrometry data.

机译：MaSDA：用于分析质谱数据的系统。

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摘要

Mass spectrometry (MS) approaches have been recently coupled with advanced data analysis techniques in order to enable clinicians to discover useful knowledge from MS data. However, effectively and efficiently handling and analyzing MS data requires to take into account a number of issues. In particular, the huge dimensionality and the variety of noisy factors present in MS data require careful preprocessing and modeling phases in order to make them amenable to the further analysis. In this paper we present MaSDA, a system performing advanced analysis on MS data. MaSDA has the following main features: (i) it implements an approach of MS data representation that exploits a model based on low dimensional, dense time series; (ii) it provides a wide set of MS preprocessing operations which are accomplished by means of a user-friendly graphical tool; (iii) it embeds a number of tools implementing various tasks of data mining and knowledge discovery, in order to assist the user in taking critical clinical decisions. Our system has been experimentally tested on several publicly available datasets, showing effectiveness and efficiency in supporting advanced analysis of MS data.
机译：质谱（MS）方法最近已与先进的数据分析技术结合在一起，以使临床医生能够从MS数据中发现有用的知识。但是，有效和高效地处理和分析MS数据需要考虑许多问题。特别是，MS数据中存在的巨大维数和各种噪声因素需要仔细的预处理和建模阶段，以便使其能够进行进一步的分析。在本文中，我们介绍了MaSDA，这是对MS数据执行高级分析的系统。 MaSDA具有以下主要特征：（i）实现了一种MS数据表示方法，该方法利用了基于低维密集时间序列的模型; （ii）它提供了广泛的MS预处理操作，这些操作是通过用户友好的图形工具完成的; （iii）嵌入了许多工具来执行数据挖掘和知识发现的各种任务，以帮助用户做出重要的临床决策。我们的系统已经在几个公开可用的数据集上进行了实验测试，显示了支持MS数据高级分析的有效性和效率。

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