Author

Mark Chen

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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Bioinformatics· 1 Cancer Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:mouse· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Assay:DNA methylation· 1 Organism:E. coli· 1

Frequent Co-Authors

Lurong Pan· 2 shared Anusa T. Sridharan· 1 shared Carrie R. GraveeliD· 1 shared Curt J. EssenburgiD· 1 shared David G. Kirsch· 1 shared Diana M. Cardona· 1 shared Elizabeth A. Tovar· 1 shared Flavio Maina· 1 shared

Activity by Year

2017-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersBioinformatics

Lurong Pan

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Correlation Between Information Entropy and Functions of Gene Sequences in the Evolutionary Context: A New Way to Construct Gene Regulatory Networks from Sequence

Lurong Pan, Mark Chen, Murat M. Tanik

This paper proposes a framework using information entropy and evolutionary conservation to construct gene regulatory networks from sequence data, demonstrating improved edge discrimination and directionality resolution.

bioRxiv · Apr 7, 2026 · PreprintBioinformatics

A Systems Framework for Quantifying Programmability and Persistence Across Mammalian Cell Types

Viren Chauhan, Mark Chen, Anusa T. Sridharan, Lurong Pan

The paper introduces a Programmability & Persistence Score to evaluate mammalian cell types based on lifespan, engraftment, and resilience, guiding applications in regenerative medicine and immunotherapy.

bioRxiv · Mar 30, 2026 · PreprintSystems Biology

Genomic MET amplification occurs early in NF1-related malignant peripheral nerve sheath tumor (MPNST) progression and is a potent therapeutic target

Jacqueline D. Peacock, Matthew G. Pridgeon, Elizabeth A. Tovar, Curt J. Essenburg, Megan Bowman, Zachary Madaj, Julie Koeman, Jamie Grit, Rebecca D. Dodd, Diana M. Cardona, Mark Chen, David G. Kirsch, Flavio Maina, Rosanna Dono, Mary E. Winn, , Matthew R. Steensma

This study identifies early MET amplification in NF1-related MPNST progression and shows MET inhibition effectively targets these tumors.

bioRxiv · Oct 5, 2017 · PreprintCancer Biology