Author

Chen Song

Temple UniversityORCID 0000-0002-5295-5357Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:graph neural network· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Xinghua Mindy ShiiD· 2 shared Supratim DasiD· 1 shared Timothy Richard RebbeckiD· 1 shared Wenkang Zhan· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersBioinformatics

Xinghua Mindy ShiORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMar 9, 2023

E2EGraph: An End-to-end Graph Learning Model for Interpretable Prediction of Pathlogical Stages in Prostate Cancer

Wenkang Zhan, Chen Song, Supratim Das…·Xinghua Mindy Shi

E2EGraph predicts prostate cancer pathological stages using gene expression data and graph neural networks, achieving state-of-the-art performance with interpretable marker gene identification.

1 citation

humanbulk RNA-seq

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BioinformaticsbioRxivPreprintJan 16, 2023

Secure Deep Learning on Genomics Data via a Homomorphic Encrypted Residue Activation Network

Chen Song, Xinghua Mindy Shi

This paper introduces ResActNet, a homomorphic encryption-friendly deep learning network for secure genomics analysis, achieving low approximation errors in classification and regression tasks.

5 citations

deep learningstatistical model

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