The field of breath analysis lacks a fully automated analysis platform that enforces machine learning good practice and enables clinicians and clinical researchers to rapidly and reproducibly discover metabolite patterns in diseases. We present BALSAM—a comprehensive web-platform to simplify and automate this process, offering features for preprocessing, peak detection, feature extraction, visualization and pattern discovery. Our main focus is on data from multi-capillary-column ion-mobility-spectrometry. While not limited to breath data, BALSAM was developed to increase consistency and robustness in the data analysis process of breath samples, aiming to expand the array of low cost molecular diagnostics in clinics. Our platform is freely available as a web-service and in form of a publicly available docker container.

中文翻译：

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BALSAM-用于呼吸分析，可视化和分类的交互式在线平台

呼吸分析领域缺乏一个完全自动化的分析平台，该平台必须执行机器学习的良好做法，并使临床医生和临床研究人员能够快速，可重复地发现疾病中的代谢物模式。我们展示了BALSAM，它是一个简化和自动化该过程的综合Web平台，提供用于预处理，峰值检测，特征提取，可视化和模式发现的功能。我们的主要重点是多毛细管柱离子迁移谱仪的数据。BALSAM不仅限于呼吸数据，其开发目的是在呼吸样品的数据分析过程中提高一致性和鲁棒性，旨在扩大临床上低成本分子诊断的范围。我们的平台可作为Web服务免费提供，并以可公开使用的Docker容器的形式提供。