Search Results for author: Xianglilan Zhang

Found 3 papers, 2 papers with code

Deep learning enables de novo peptide sequencing from data-independent-acquisition mass spectrometry

1 code implementation • Nature Methods 2018 • Ngoc Hieu Tran, Rui Qiao, Lei Xin, Xin Chen, Chuyi Liu, Xianglilan Zhang, Baozhen Shan, Ali Ghodsi, Ming Li

We present DeepNovo-DIA, a de novo peptide-sequencing method for data-independent acquisition (DIA) mass spectrometry data.

de novo peptide sequencing

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DeepIso: A Deep Learning Model for Peptide Feature Detection

no code implementations • 9 Dec 2017 • Fatema Tuz Zohora, Ngoc Hieu Tran, Xianglilan Zhang, Lei Xin, Baozhen Shan, Ming Li

In this paper we propose a novel deep learning based model, DeepIso, that uses Convolutional Neural Networks (CNNs) to scan an LC-MS map to detect peptide features and estimate their abundance.

Drug Discovery Specificity

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De novo peptide sequencing by deep learning

2 code implementations • PNAS 2017 • Ngoc Hieu Tran, Xianglilan Zhang, Lei Xin, Baozhen Shan, Ming Li

In this study, we propose a deep neural network model, DeepNovo, for de novo peptide sequencing.

de novo peptide sequencing

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