NEURAL NETWORK AS AN APPROACH TO THE CLASSIFICATION OF UNASSIGNED LC-MS DATA IN PROTEOMETABOLOMICS

D. V. Petrovsky
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Abstract

Proteomic (MASCOT, Andromeda, OMSSA, etc.) and metabolomic (Scripps, AMDIS, etc.) search algorithms for identification are limited to reference libraries and, as a result, a large amount of data is lost (modified proteins, isoforms). Bypassing the identification stage, you can significantly increase the amount of data for classification tasks. This makes it possible to successfully cluster the studied classes at the cost of information on molecular categorical predictors.
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神经网络作为蛋白质代谢组学中未分配lc-ms数据分类的方法
蛋白质组学(MASCOT, Andromeda, OMSSA等)和代谢组学(Scripps, AMDIS等)搜索算法的鉴定仅限于参考文库,导致大量数据丢失(修饰蛋白,同种异构体)。绕过标识阶段,可以显著增加用于分类任务的数据量。这使得以分子分类预测器的信息为代价成功地聚类所研究的类成为可能。
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