DeepIso: A Deep Learning Model for Peptide Feature Detection from LC-MS map.

ABSTRACT: Liquid chromatography with tandem mass spectrometry (LC-MS/MS) based quantitative proteomics provides the relative different protein abundance in healthy and disease-afflicted patients, which offers the information for molecular interactions, signaling pathways, and biomarker identification to serve the drug discovery and clinical research. Typical analysis workflow begins with the peptide feature detection and intensity calculation from LC-MS map. We are the first to propose a deep learning based model, DeepIso, that combines recent advances in Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) to detect peptide features of different charge states, as well as, estimate their intensity. Existing tools are designed with limited engineered features and domain-specific para

SUBMITTER: Zohora FT 

PROVIDER: S-EPMC6868186 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature