Author

Julia Kung

Johns Hopkins UniversityORCID 0000-0002-6206-2392Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:whole-exome sequencing· 1

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Alexander Spyridon BarasiD· 1 shared Jordan AnayaiD· 1 shared

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2024-2024 · peak 1/yr

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1 shared paperBioinformatics

Alexander Spyridon BarasORCID

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1 paper

Recent·Most cited

BioinformaticsCancer Research CommunicationsPeer-reviewedJun 17, 2024

Characterization of non-monotonic relationships between tumor mutational burden and clinical outcomes

Jordan Anaya, Julia Kung, Alexander Spyridon Baras

This study introduces a two-cutoff approach and neural networks to model non-monotonic relationships between tumor mutational burden and clinical outcomes, finding that non-monotonic relationships can exist.

1 citation

humanwhole-exome sequencing

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