Author

Sathiyamoorthy Selvarajan

Singapore General HospitalORCID 0000-0002-2949-7474Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Assay:metabolomics· 1 Assay:proteomics· 1

Frequent Co-Authors

Cong LuiD· 2 shared Jiang ZhuiD· 2 shared Narayanan Gopalakrishna IyeriD· 2 shared Oi Lian KoniD· 2 shared Shiang HuangiD· 2 shared Tiannan GuoiD· 2 shared Xiao YiiD· 2 shared Xiaodong TengiD· 2 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Cong LuORCID

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2 papers

Recent·Most cited

DPHL: A pan-human protein mass spectrometry library for robust biomarker discovery using Data-Independent Acquisition and Parallel Reaction Monitoring

Tiansheng Zhu, Yi Zhu, Yue Xuan, Huanhuan Gao, Xue Cai, Sander R. Piersma, Thang V. Pham, Tim Schelfhorst, Richard R. de Haas, Irene V. Bijnsdorp, Rui Sun, Liang Yue, Guan Ruan, Qiushi Zhang, Mo Hu, , Tiannan Guo

The paper introduces DPHL, a pan-human protein mass spectrometry library built using DIA and PRM, and demonstrates its utility in identifying differentially expressed proteins in prostate cancer and DLBCL.

Genomics Proteomics & Bioinformatics · Apr 1, 2020Peer-reviewedBioinformatics

Phenotype Prediction using a Tensor Representation and Deep Learning from Data Independent Acquisition Mass Spectrometry

Fangfei Zhang, Shaoyang Yu, Lirong Wu, Zelin Zang, Xiao Yi, Jiang Zhu, Cong Lu, Ping Sun, Yaoting Sun, Sathiyamoorthy Selvarajan, Lirong Chen, Xiaodong Teng, Yongfu Zhao, Guangzhi Wang, Junhong Xiao, , Tiannan Guo

This paper develops a deep learning method using DIA tensor for phenotype prediction from mass spectrometry data, achieving high accuracy in cancer classification.

bioRxiv · Mar 5, 2020 · PreprintBioinformatics