Author

J. D. Goldman

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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Immunology· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:cell type annotation· 2 Assay:CITE-seq· 2 Research Focus:differential expression· 2 Approach:statistical model· 2 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

J. R. Heath· 2 shared A. Aderem· 1 shared A. Kundaje· 1 shared A. Magis· 1 shared A. P. Pankow· 1 shared A. Rothchild· 1 shared A. Xu· 1 shared B. A. Pinsky· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersImmunology

J. R. Heath

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Author profile →

3 papers

Recent·Most cited

Disease diagnostics using machine learning of immune receptors

M. E. Zaslavsky, E. Craig, J. K. Michuda, N. Sehgal, N. Ram-Mohan, J.-Y. Lee, K. D. Nguyen, R. A. Hoh, T. D. Pham, K. Röltgen, B. Lam, E. S. Parsons, S. R. Macwana, W. DeJager, E. M. Drapeau, , S. D. Boyd

The paper develops Mal-ID, a machine learning framework using immune receptor data to diagnose diseases, detecting infections, autoimmune disorders, and vaccine responses.

bioRxiv · Apr 26, 2022Immunology

Tumor-specific changes in Kaposi sarcoma-associated herpesvirus genomes in Ugandan adults with Kaposi sarcoma

C. Santiago, J. D. Goldman, H. Zhao, A. P. Pankow, F. Okuku, M. W. Schmitt, L. H. Chen, C. A. Hill, C. Casper, W. T. Phipps, J. I. Mullins

This study analyzes KSHV genome variability in Ugandan HIV-associated KS patients, finding high homogeneity within individuals but tumor-specific mutations and inactivations.

PLOS Pathogens · Jan 19, 2021Peer-reviewedMicrobiology

Multiomic Immunophenotyping of COVID-19 Patients Reveals Early Infection Trajectories

Y. Su, D. Chen, C. Lausted, D. Yuan, J. Choi, C. Dai, V. Voillet, K. Scherler, P. Troisch, V. R. Duvvuri, P. Baloni, G. Qin, B. Smith, S. Kornilov, C. Rostomily, , the

This study integrates multi-omic data from COVID-19 patients to identify immune response patterns linked to disease severity.

bioRxiv · Jul 27, 2020 · PreprintImmunology