publication . Preprint . Article . 2017

DeepRT: deep learning for peptide retention time prediction in proteomics

Chunwei Ma;
Open Access English
  • Published: 15 May 2017
Abstract
Accurate predictions of peptide retention times (RT) in liquid chromatography have many applications in mass spectrometry-based proteomics. Herein, we present DeepRT, a deep learning based software for peptide retention time prediction. DeepRT automatically learns features directly from the peptide sequences using the deep convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) model, which eliminates the need to use hand-crafted features or rules. After the feature learning, principal component analysis (PCA) was used for dimensionality reduction, then three conventional machine learning methods were utilized to perform modeling. Two published dat...
Subjects
ACM Computing Classification System: ComputingMethodologies_PATTERNRECOGNITION
free text keywords: Quantitative Biology - Quantitative Methods
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publication . Preprint . Article . 2017

DeepRT: deep learning for peptide retention time prediction in proteomics

Chunwei Ma;