cover of episode Quantification of circulating tumor DNA using deep learning

Quantification of circulating tumor DNA using deep learning

2023/7/28
logo of podcast PaperPlayer biorxiv bioinformatics

PaperPlayer biorxiv bioinformatics

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Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2023.07.28.550922v1?rss=1

Authors: Jacobsen Skanderup, A., Zhu, G., Rahman, C., Getty, V., Baruah, P., Carrie, H., Lim, A., Guo, Y. A., Poh, Z., Sim, N., Abdelmoneim, A., Cai, Y., Ho, D., Thangaraju, S., Poon, P., Lau, Y., Gan, A., Ng, S., Odinokov, D., Koo, S.-L., Chong, D., Tay, B., Tan, T., Yap, Y., Chok, A., Ng, M., Tan, P., Tan, D., Wong, L., Wong, P., Tan, I.

Abstract: Quantification of circulating tumor DNA (ctDNA) in blood enables non-invasive surveillance of cancer progression. Fragle is a fast deep learning-based method for estimation of ctDNA levels directly from cell-free DNA fragment length profiles. Fragle accurately estimates ctDNA levels across different cancer types from both low-pass whole genome and targeted sequencing data, enabling uniform quantification of blood ctDNA levels across sequencing assays and cancer patients.

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