Author

Hossain Shadman

University of MemphisORCID 0000-0002-4020-4783Unclaimed 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 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Research Focus:protein folding & dynamics· 1

Frequent Co-Authors

Jesse Dylan ZiebarthiD· 2 shared Qianyi ChengiD· 2 shared Yongmei WangiD· 2 shared Christopher Litle· 1 shared Jiang YuiD· 1 shared Mohamed LaradjiiD· 1 shared Saghar GomrokiD· 1 shared Xiaohua HuangiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 24 mutual co-author links

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2 shared papersBiochemistry

Jesse Dylan ZiebarthORCID

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2 papers

Recent·Most cited

Resolving Local and Global Conformational Heterogeneity of the Human Intrinsically Disordered Proteome

Hossain Shadman, Jesse Dylan Ziebarth, Qianyi Cheng, Mohamed Laradji, Yongmei Wang

This paper introduces a framework to resolve conformational heterogeneity in human intrinsically disordered regions (IDRs) using polymer physics descriptors, revealing local and global structural differences linked to function.

Journal of Chemical Theory and Computation · Jun 29, 2026Peer-reviewedBiochemistry

A Machine Learning-Based Investigation of Integrin Expression Patterns in Cancer and Metastasis

Hossain Shadman, Saghar Gomrok, Christopher Litle, Qianyi Cheng, Jiang Yu, Xiaohua Huang, Jesse Dylan Ziebarth, Yongmei Wang

The paper uses machine learning to analyze integrin expression patterns in cancer and metastasis, identifying key integrins that distinguish tissue types and disease states.

Scientific Reports · Feb 12, 2025Peer-reviewedCancer Biology