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

Click to filter author papers

Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Gordon Brent MillsORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 7, 2023

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

Youness Azimzade, Mads Haugland Haugen, Xavier Tekpli…·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.

4 citations

humanscRNA-seq

𝕏 PostBluesky

Systems BiologyCommunications BiologyPeer-reviewedOct 7, 2022

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

Sean M. Gross, Mark A. Dane, Rebecca Lee Smith…·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.

35 citations

humanbulk RNA-seq

𝕏 PostBluesky