Author

David F. Kilburn

Oregon Health & Science University

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 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1

Frequent Co-Authors

Gordon Brent MillsiD· 2 shared Ajay PillaiiD· 1 shared Albert Lee· 1 shared Alexandra B. London· 1 shared Alvaro Köhn‐LuqueiD· 1 shared Aravind SubramanianiD· 1 shared Arnoldo FrigessiiD· 1 shared Avi Ma’ayaniD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioinformatics

Gordon Brent MillsORCID

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2 papers

Recent·Most cited

Explainable Machine Learning Reveals the Role of the Breast Tumor Microenvironment in Neoadjuvant Chemotherapy Outcome

Youness Azimzade, Mads Haugland Haugen, Xavier Tekpli, Chloé Beate Steen, Thomas Fleischer, David F. Kilburn, Hongli Ma, Eivind Valen Egeland, Gordon Brent Mills, Olav Engebraaten, Vessela Nedelcheva Kristensen, Arnoldo Frigessi, Alvaro Köhn‐Luque

The paper uses scRNA-seq and explainable machine learning to analyze how tumor microenvironment cell types affect neoadjuvant chemotherapy outcomes in breast cancer.

bioRxiv · Sep 7, 2023 · PreprintBioinformatics

A LINCS microenvironment perturbation resource for integrative assessment of ligand-mediated molecular and phenotypic responses

Sean M. Gross, Mark A. Dane, Rebecca Lee Smith, Kaylyn L. Devlin, Ian C. McLean, Daniel S. Derrick, Caitlin E. Mills, Kartik Subramanian, Alexandra B. London, Denis Torre, John Erol Evangelista, Daniel J. B. Clarke, Zhuorui Xie, Cemal Erdem, Nicholas Lyons, , Laura M. Heiser

The paper presents a LINCS Microenvironment perturbation dataset cataloging transcriptional, proteomic, epigenomic, and phenotypic responses of MCF10A cells to six ligands, enabling integrative analysis of molecular and phenotypic changes.

Communications Biology · Oct 7, 2022Peer-reviewedSystems Biology