Author

D. E. Frankhouser

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· 2

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Organism:mouse· 2 Approach:statistical model· 2 Research Focus:trajectory inference· 2 Research Focus:cell type annotation· 1

Frequent Co-Authors

D. O'Meally· 2 shared G. Marcucci· 2 shared L. Uechi· 2 shared R. C. Rockne· 2 shared S. Branciamore· 2 shared Y.-H. Kuo· 2 shared B. Zhang· 1 shared D. Zhao· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 42 mutual co-author links

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2 shared papersCancer Biology

D. O'Meally

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2 papers

Recent·Most cited

Cancer BiologybioRxivOct 11, 2023

State-transition Modeling of Blood Transcriptome Predicts Disease Evolution and Treatment Response in Chronic Myeloid Leukemia

D. E. Frankhouser, R. C. Rockne, L. Uechi…·G. Marcucci

The paper uses transcriptome-based state-transition models to predict CML disease progression and treatment response using time-sequential blood samples from mice.

DOI 10.1038/s41375-024-02142-9

mousebulk RNA-seq

𝕏 PostBluesky

Cancer BiologybioRxivPreprintMar 2, 2021

State-Transition Analysis of Time-Sequential microRNA Expression Predicts Development of Acute Myeloid Leukemia

D. E. Frankhouser, D. O'Meally, S. Branciamore…·R. C. Rockne

This study uses time-sequential miRNA expression data from a mouse AML model to identify state transitions during leukemogenesis and shows the model predicts time to AML development.

DOI 10.1101/2021.03.02.433582

mousebulk RNA-seq

𝕏 PostBluesky