Author

M. W. Deem

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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Cancer Biology· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1

Frequent Co-Authors

H. Levine· 1 shared M. E. Bonomo· 1 shared M. K. Jolly· 1 shared S. Tripathi· 1 shared W. A. Woodward· 1 shared

Activity by Year

2017-2018 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 6 mutual co-author links

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1 shared paperCancer Biology

H. Levine

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2 papers

Recent·Most cited

ImmunologybioRxivApr 12, 2018

Predicting influenza H3N2 vaccine efficacy from evolution of the dominant epitope

M. E. Bonomo, M. W. Deem

The paper predicts influenza H3N2 vaccine efficacy using antigenic distance based on epitope mutations, achieving an r² of 0.77 and outperforming ferret model comparisons.

DOI 10.1093/cid/ciy323

virusproteomics

𝕏 PostBluesky

Cancer BiologybioRxivOct 16, 2017

Analysis of hierarchical organization in gene expression networks reveals underlying principles of collective tumor cell dissemination and metastatic aggressiveness of inflammatory breast cancer

S. Tripathi, M. K. Jolly, W. A. Woodward…·M. W. Deem

This study uses hierarchical organization metrics to show that gene expression networks in IBC are more organized and linked to worse outcomes and epithelial traits in metastatic breast cancer.

DOI 10.3389/fonc.2018.00244

humanbulk RNA-seq

𝕏 PostBluesky