Author

Tong Wang

Brigham and Women's HospitalORCID 0000-0002-5980-3380Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Tong Wang6 papers · Augusta University

Biology Disciplines

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Bioinformatics· 2 Neuroscience· 1

Signature Assays, Organisms & Methods

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Assay:metagenomics· 3 Research Focus:benchmarking· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Organism:human· 1

Frequent Co-Authors

Scott T. WeissiD· 2 shared Yang‐Yu LiuiD· 2 shared Chiyang LiiD· 1 shared Chong SongiD· 1 shared Dan HuangiD· 1 shared Hong LiiD· 1 shared Jiang LiuiD· 1 shared Joshua R. KorzenikiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersBioinformatics

Scott T. WeissORCID

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3 papers

Recent·Most cited

Deep Learning Transforms Phage-Host Interaction Discovery from Metagenomic Data

Yi‐Yan Yang, Tong Wang, Dan Huang, Xu‐Wen Wang, Scott T. Weiss, Joshua R. Korzenik, Yang‐Yu Liu

PHILM, a deep learning framework, predicts phage-host interactions from metagenomic data with higher accuracy than traditional methods, identifying more interactions and capturing microbial succession patterns.

bioRxiv · May 26, 2025 · PreprintBioinformatics

Novel gut microbiota and microbiota-metabolites signatures in gliomas and its predictive/prognosis functions

Min Zhou, Chong Song, Junwei Gu, Tong Wang, Linyong Shi, Chiyang Li, Liwen Zhu, Hong Li, Songtao Qi, Yuntao Lu

This study identifies gut microbiota and metabolite signatures in gliomas and shows their predictive value for prognosis and tumor growth.

bioRxiv · Jan 19, 2023 · PreprintNeuroscience

Eliminate false positives in metagenomic profiling based on type IIB restriction sites

Zheng Sun, Jiang Liu, Meng Zhang, Tong Wang, Shi Wei Huang, Scott T. Weiss, Yang‐Yu Liu

The paper introduces MAP2B, a metagenomic profiler that reduces false positives and improves abundance estimation using type IIB restriction sites, outperforming existing methods on benchmark datasets.

bioRxiv · Oct 24, 2022 · PreprintBioinformatics