Author

Kevin J. Thompson

Mayo ClinicORCID 0000-0002-9348-4686Unclaimed ORCID profile · follow to get notified of new preprints

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Organism:human· 4 Assay:bulk RNA-seq· 3 Research Focus:differential expression· 3 Research Focus:drug response / drug discovery· 2 Approach:machine learning (classical)· 2 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Approach:experimental assay· 1

Frequent Co-Authors

Krishna R. KalariiD· 5 shared Xiaojia TangiD· 4 shared Judy Caroline BougheyiD· 2 shared Liewei WangiD· 2 shared Matthew Philip GoetziD· 2 shared Peter T. VedelliD· 2 shared Richard M. WeinshilboumiD· 2 shared Vera Jean SumaniD· 2 shared

Activity by Year

2018-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 32 mutual co-author links

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5 shared papersBioinformatics

Krishna R. KalariORCID

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Author profile →

5 papers

Recent·Most cited

Characterization of transcriptomic changes in the neurovascular unit of Alzheimiers transgenic mouse models using digital spatial profiling

Vrishali S. Salian, Kevin J. Thompson, Xiaojia Tang, Val J. Lowe, Krishna R. Kalari, Karunya K. Kandimalla

The paper uses digital spatial profiling to analyze transcriptomic changes in the neurovascular unit of Alzheimer's transgenic mice, identifying dysregulated signaling and potential therapeutic targets.

bioRxiv · Mar 3, 2025 · PreprintBioinformatics

OmicsFootPrint: a framework to integrate and interpret multi-omics data using circular images and deep neural networks

Xiaojia Tang, Naresh Prodduturi, Kevin J. Thompson, Richard M. Weinshilboum, Ciara Catherine O'Sullivan, Judy Caroline Boughey, Hamid R. Tizhoosh, Eric W. Klee, Liewei Wang, Matthew Philip Goetz, Vera Jean Suman, Krishna R. Kalari

OmicsFootPrint integrates and interprets multi-omics data using circular images and deep neural networks, achieving high AUC scores in cancer subtype classification and drug response prediction.

Nucleic Acids Research · Oct 6, 2024Peer-reviewedBioinformatics

Nomination of a novel plasma protein biomarker panel capable of classifying Alzheimer's disease dementia with high accuracy in an African American cohort

Lindsey A. Kuchenbecker, Kevin J. Thompson, Cheyenne D. Hurst, Bianca M. Opdenbosch, Michael G. Heckman, Joseph S. Reddy, Thuy Nguyen, Heidi L. Casellas, Katie D. Sotelo, Delila J. Reddy, John A. Lucas, Gregory Scott Day, Floyd B. Willis, Neill R. Graff‐Radford, Nilüfer Ertekin‐Taner, , Minerva M. Carrasquillo

bioRxiv · Jul 27, 2024 · PreprintNeuroscience

Frequency of MicroRNA Response Elements Identifies Pathologically Relevant Signaling Pathways in Cancers

Asha Nair, Xiaojia Tang, Kevin J. Thompson, Peter T. Vedell, Krishna R. Kalari, Subbaya Subramanian

The paper identifies pathologically relevant signaling pathways in cancers by analyzing microRNA response element frequencies using a novel bioinformatics method.

iScience · Jun 1, 2020Peer-reviewedBioinformatics

PANOPLY: Omics-guided drug prioritization method tailored to an individual patient

Krishna R. Kalari, Jason P. Sinnwell, Kevin J. Thompson, Xiaojia Tang, Erin E. Carlson, Jia Yu, Peter T. Vedell, James N. Ingle, Richard M. Weinshilboum, Judy Caroline Boughey, Liewei Wang, Matthew Philip Goetz, Vera Jean Suman

PANOPLY prioritizes cancer drugs for individual patients using multi-omics data and machine learning, showing effectiveness in a chemotherapy-resistant tumor model.

JCO Clinical Cancer Informatics · Oct 15, 2018Peer-reviewedBioinformatics