Author

I. Ruczinski

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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Bioengineering· 1 Evolutionary Biology· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:cell type annotation· 2 Approach:machine learning (classical)· 2 Assay:proteomics· 2 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1

Frequent Co-Authors

A. Wesolowski· 1 shared A.-M. Liebhoff· 1 shared B. Langmead· 1 shared C. Morrison· 1 shared D. E. Norris· 1 shared D. M. Becker· 1 shared D. N. Harris· 1 shared F. H. Chilton· 1 shared

Activity by Year

2017-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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1 shared paperImmunology

A. Wesolowski

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Efficient encoding of large antigenic spaces by epitope prioritization with Dolphyn

A.-M. Liebhoff, T. Venkataraman, W. R. Morgenlander, M. Na, T. Kula, K. Waugh, C. Morrison, M. Rewers, R. Longman, J. Round, S. Elledge, I. Ruczinski, B. Langmead, H. B. Larman

The paper develops Dolphyn, a machine learning method to improve PhIP-Seq by prioritizing epitopes, increasing antibody-bound peptides from 10% to 31% and reducing synthesized peptides by 78%.

bioRxiv · Jul 30, 2023Bioengineering

A Random Forest Classifier Uses Antibody Responses to Plasmodium Antigens to Reveal Candidate Biomarkers of the Intensity and Timing of Past Exposure to Plasmodium falciparum

S. Berube, T. Kobayashi, D. E. Norris, I. Ruczinski, W. J. Moss, A. Wesolowski, T. A. Louis

The paper uses random forest models trained on antibody responses to Plasmodium antigens to classify adult samples by historical malaria transmission regions with high accuracy.

bioRxiv · Feb 16, 2022 · PreprintImmunology

Evolution of Hominin Polyunsaturated Fatty Acid Metabolism: From Africa to the New World

D. N. Harris, I. Ruczinski, L. R. Yanek, L. C. Becker, D. M. Becker, H. Guio, T. Cui, F. H. Chilton, R. A. Mathias, T. O'Connor

The paper investigates the evolutionary history of FADS haplotypes in Native American populations, finding ancestral haplotypes under positive selection and potential health implications.

bioRxiv · Aug 10, 2017Evolutionary Biology