Author

Chris A. Kieslich

Georgia Institute of TechnologyORCID 0000-0002-1845-6589Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Anika KaushikiD· 1 shared Huyju Mun· 1 shared Hyeju SongiD· 1 shared Isaac B. RheaiD· 1 shared Maegan A. CremeriD· 1 shared Maxwell Leamy· 1 shared Meghan C. Ferrall‐FairbanksiD· 1 shared Michael G. FradleyiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 16 mutual co-author links

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1 shared paperBioinformatics

Anika KaushikORCID

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2 papers

Recent·Most cited

Computational alternative to cardiac biopsy in multiple myeloma: utilizing the shape of routine laboratory data for the classification of AL cardiac amyloidosis

Maegan A. Cremer, Hyeju Song, Michael G. Fradley, Isaac B. Rhea, Chris A. Kieslich, Meghan C. Ferrall‐Fairbanks

The paper develops machine learning models to classify AL cardiac amyloidosis in multiple myeloma patients using electronic medical records instead of cardiac biopsy.

bioRxiv · Oct 30, 2026 · PreprintBioengineering

ProCAST: A Bioinformatics Suite for Mass Spectrometry-Based Protein Corona Proteomics Analysis

Huyju Mun, Maxwell Leamy, Anika Kaushik, Chris A. Kieslich, Simone A. Douglas-Green

ProCAST is an R-based framework for analyzing protein corona proteomics data, enabling clustering, visualization, and functional interpretation of adsorbed proteins.

bioRxiv · May 12, 2026 · PreprintBioinformatics