Author

Cristina E. Tognon

Oregon Health & Science UniversityORCID 0000-0002-4872-3078Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Alisa DamnernsawadiD· 1 shared Anupriya AgarwaliD· 1 shared Brian J Drucker· 1 shared Chelsea M. Hutchinson-BunchiD· 1 shared Elie A. TraeriD· 1 shared Jamie MooniD· 1 shared Jason McDermottiD· 1 shared Joshua HanseniD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Alisa DamnernsawadORCID

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1 paper

Recent·Most cited

Utilizing proteomics and phosphoproteomics to predict ex vivo drug sensitivity across genetically diverse AML patients

Sara J.C. Gosline, Cristina E. Tognon, Michael D. Nestor, Sunil Kumar Joshi, Rucha V. Modak, Alisa Damnernsawad, Jamie Moon, Joshua Hansen, Chelsea M. Hutchinson-Bunch, Marina A. Gritsenko, Karl Weitz, Elie A. Traer, Brian J Drucker, Anupriya Agarwal, Paul Piehowski, , Karin Rodland

The paper predicts ex vivo drug sensitivity in AML patients using proteomic and phosphoproteomic signatures, showing better accuracy than mutation or mRNA-based signatures.

bioRxiv · Jun 4, 2021 · PreprintBioinformatics