Author

K. Makielski

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1

Frequent Co-Authors

A. J. Donnelly· 1 shared A. Khammanivong· 1 shared A. Montoya· 1 shared A. R. Ortiz· 1 shared B. A. Bryan· 1 shared B. J. Weigel· 1 shared C. Amaya· 1 shared D. C. Galvan· 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 paperCancer Biology

A. J. Donnelly

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1 paper

Recent·Most cited

Development of an exosomal gene signature to detect residual disease in dogs with osteosarcoma using a novel xenograft platform and machine learning

K. Makielski, A. J. Donnelly, A. Khammanivong, M. C. Scott, A. R. Ortiz, D. C. Galvan, H. Tomiyasu, C. Amaya, K. Ward, A. Montoya, J. R. Garbe, L. J. Mills, G. R. Cutter, J. M. Fenger, W. C. Kisseberth, , J. F. Modiano

The paper develops a gene signature using exosomal RNA from canine osteosarcoma xenografts and machine learning to detect residual disease in dogs, showing improved remission outcomes in validation samples.

bioRxiv · Feb 11, 2021Cancer Biology