Author

Jenny L. Smith

Fred Hutch Cancer CenterORCID 0000-0003-0402-2779Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Organism:human· 2 Assay:ChIP-seq· 1 Research Focus:chromatin & epigenetic regulation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1

Frequent Co-Authors

Ben BusbyiD· 1 shared Brandon HadlandiD· 1 shared David Lee· 1 shared Ekaterina Babaeva· 1 shared Emily J. GirardiD· 1 shared Irwin D. BernsteiniD· 1 shared Jay F. SarthyiD· 1 shared Michael P. MeersiD· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Ben BusbyORCID

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2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintAug 30, 2023

Chromatin Profiling of CBFA2T3-GLIS2 AMLs Identifies Key Transcription Factor Dependencies and BRG1 Inhibition as a Novel Therapeutic Strategy

Samantha Kaonis, Jenny L. Smith, Neerja Katiyar…·Jay F. Sarthy

This study identifies BRG1 inhibition as a therapeutic strategy for CBFA2T3-GLIS2 AML by analyzing chromatin profiles and CRISPR dependencies.

6 citations

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BioinformaticsbioRxivPreprintMay 10, 2019

Consensus Machine Learning for Gene Target Selection in Pediatric AML Risk

Jenny L. Smith, Sean K. Maden, David Lee…·Ben Busby

The paper uses a consensus machine learning approach to identify gene targets associated with pediatric AML risk, finding recurrently selected genes like HOXA9 and MEIS1 across multiple algorithms.

1 citation

humanbulk RNA-seq

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