The application of compressed sensing on tumor mutation burden calculation from overlapped pooling sequencing data

The application of compressed sensing on tumor mutation burden calculation from overlapped pooling sequencing data

Abstract Background Tumor Mutation Burden (TMB) is commonly characterized as the number of non-synonymous somatic SNVs per megabase within the gene region identified through whole exon sequencing or targeted sequencing in a tumor sample. It has been statistically demonstrated that TMB was related to...

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Bibliographic Details
Main Authors: Yue Cui, Yi Qiao, Rongming An, Xuan Pan, Jing Tu
Format: Article
Language:English
Published: BMC 2025-05-01
Series:BMC Bioinformatics
Subjects:
Tumor mutation burden
Compressed sensing
Overlapped pooling
DNA sequencing
Online Access:https://doi.org/10.1186/s12859-025-06148-7
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https://doi.org/10.1186/s12859-025-06148-7

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