Author

M. J. Wu

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 2 Immunology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:DNA methylation· 2 Research Focus:gene regulatory network inference· 2 Assay:proteomics· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1

Frequent Co-Authors

A. Sutherland· 1 shared B. Yuen· 1 shared C. C. Kim· 1 shared D. Talantov· 1 shared G. Tong· 1 shared J. M. Leung· 1 shared J. Merson· 1 shared J. O. Andreasson· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperImmunology

A. Sutherland

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Author profile →

3 papers

Recent·Most cited

Multi-omic Profiling Reveals Early Immunological Indicators for Identifying COVID-19 Progressors

K. A. Drake, D. Talantov, G. Tong, J. T. Lin, S. Verheijden, S. Katz, J. M. Leung, B. Yuen, V. Krishna, M. J. Wu, A. Sutherland, S. Short, P. Kheradpour, M. R. Mumbach, K. M. Franz, , The PRESCO Study Group

The paper identifies early immunological indicators of severe COVID-19 by analyzing multi-omic data from the immediate post-diagnosis phase.

bioRxiv · May 25, 2023Immunology

Automated design of highly diverse riboswitches

M. J. Wu, J. O. Andreasson, W. Kladwang, W. J. Greenleaf, R. Das

This paper introduces an automated method, RiboLogic, to design diverse riboswitches and validates them experimentally, showing improved performance in modulating molecular interactions.

bioRxiv · Apr 9, 2019Biophysics

Convolutional models of RNA energetics

This paper introduces a convolutional neural network to model nucleic acid motif energies, showing it can accurately predict thermodynamics of unmeasured motifs.

bioRxiv · Nov 19, 2018 · PreprintBiophysics