The application of compressed sensing on tumor mutation burden calculation from overlapped pooling sequencing data
In conclusion, we calculated TMB from overlapped pooling sequencing data utilizing compressed sensing strategy to reduce sequencing cost. Our findings confirm that the SNP calling from ten samples' pooling sequencing data is feasible. Additionally, we performed an assessment of the reconstruction efficiency of both the BP model and the OMP model.
Authors
- 義行 高橋 (ORCID: https://orcid.org/0000-0002-8612-9598)
- Jing Tu (ORCID: https://orcid.org/0000-0002-1310-5915)
- Yue Cui (ORCID: https://orcid.org/0000-0002-0313-4472)
- Xuan Pan (ORCID: https://orcid.org/0000-0001-9161-4267)
- Ruoming An (ORCID: https://orcid.org/0000-0003-2673-1170)
Institutions
- Suzhou Research Institute (CN)
- State Key Laboratory of Digital Medical Engineering (CN)
- Southeast University (CN)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2025-05-20
- DOI
- https://doi.org/10.1186/s12859-025-06148-7
- Primary Topic
- Cancer Genomics and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Government of Jiangsu Province
- Natural Science Foundation of Jiangsu Province
- Southeast University
- Fundamental Research Funds for the Central Universities