Author

M. E. Ahsen

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 Cell Biology· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Research Focus:differential expression· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1

Frequent Co-Authors

B. Losic· 2 shared X. Chen· 2 shared A. Asgharpour· 1 shared A. Califano· 1 shared A. Craig· 1 shared A. Stanescu· 1 shared A. Talla· 1 shared A. Tewari· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersCancer Biology

B. Losic

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Unannotated small RNA clusters in circulating extracellular vesicles detect early stage liver cancer

J. v. Felden, T. G. Lezana, N. Dogra, E. Kozlova, M. E. Ahsen, A. Craig, S. Gifford, B. Wunsch, J. T. Smith, S. Kim, J. E. Diaz, X. Chen, I. Labgaa, P. K. Haber, R. Olsen, , A. Villanueva

The paper identifies a 3-smRC signature from circulating extracellular vesicles that detects early-stage liver cancer with high sensitivity and specificity.

Gut · Oct 1, 2022Peer-reviewedCancer Biology

The transcriptomic response of cells to a drug combination is more than the sum of the responses to the monotherapies

J. E. L. Diaz, M. E. Ahsen, T. Schaffter, X. Chen, R. B. Realubit, C. Karan, A. Califano, B. Losic, G. Stolovitzky

The paper shows that drug combination transcriptional responses are not simply additive and develops a prediction algorithm with 0.84 AUROC for synergistic combinations.

bioRxiv · Nov 18, 2019Cell Biology

A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection

S. Fourati, A. Talla, M. Mahmoudian, J. G. Burkhart, R. Klen, R. Henao, Z. Aydin, K. Y. Yeung, M. E. Ahsen, R. Almugbel, S. Jahandideh, X. Liang, T. E. M. Nordling, M. Shiga, A. Stanescu, , S. K. Sieberts

The paper uses crowdsourced analysis of gene expression data to identify molecular signatures predictive of susceptibility to respiratory viruses before and after exposure.

bioRxiv · Apr 30, 2018Immunology