TMBquant: an explainable AI-powered caller advancing tumor mutation burden quantification across heterogeneous samples
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DOI: 10.1093/bib/bbaf455
Abstract: Abstract Accurate tumor mutation burden (TMB) quantification is critical for immunotherapy stratification, yet remains challenging due to variability across sequencing platforms, tumor heterogeneity, and variant calling pipelines. Here, we introduce TMBquant, an explainable AI-powered caller… read more here.
Keywords: mutation burden; tmbquant explainable; powered caller; tumor ... See more keywords