Author

Christopher J. Giacoletto

University of Nevada, Las Vegas

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 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Assay:proteomics· 2 Research Focus:variant effect prediction· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Martin R. SchilleriD· 2 shared Gordon Chen· 1 shared Hong‐Wen DengiD· 1 shared Houssemeddine Derbel· 1 shared Jerome I. RotteriD· 1 shared Lancer BrowniD· 1 shared Liz J. ValenteiD· 1 shared Qian LiuiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Martin R. SchillerORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

New Gain-of-Function Mutations Prioritize Mechanisms of HER2 Activation

Christopher J. Giacoletto, Liz J. Valente, Lancer Brown, Sara E. Patterson, Rewatee H. Gokhale, Susan M. Mockus, Wayne W. Grody, Hong‐Wen Deng, Jerome I. Rotter, Martin R. Schiller

The paper identifies new gain-of-function HER2 mutations using a high-throughput assay and links them to improved patient survival.

medRxiv · Mar 3, 2025 · PreprintGenetic & Genomic Medicine

Accurate prediction of transcriptional activity of single missense variants in HIV Tat with deep learning

Houssemeddine Derbel, Christopher J. Giacoletto, Ronald Benjamin, Gordon Chen, Martin R. Schiller, Qian Liu

The paper predicts transcriptional activity of HIV Tat single missense variants using a deep learning model trained on GigaAssay experiments, achieving a high correlation with experimental results.

International Journal of Molecular Sciences · Mar 24, 2023Peer-reviewedBioinformatics