Author

Hillary G. Harris

Indiana University Indianapolis

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

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Asif AdiliD· 1 shared Jingyu XiangiD· 1 shared John F. DiPersioiD· 1 shared Nicola PiccirilloiD· 1 shared Simona SicaiD· 1 shared Stephanie N. HurwitziD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Asif AdilORCID

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1 paper

Recent·Most cited

Advanced Deep Learning Enables Prediction of Allogeneic Stem Cell Mobilization Success

Asif Adil, Jingyu Xiang, Nicola Piccirillo, Hillary G. Harris, Simona Sica, John F. DiPersio, Stephanie N. Hurwitz

This paper develops machine learning models to predict donor success in stem cell mobilization using clinical data, enabling early intervention and personalized strategies.

Bone Marrow Transplantation · Mar 17, 2026Peer-reviewedBioinformatics