Work

Predicting somatic mutation origins in cell-free DNA by semi-supervised GAN models

Year: 2024

Type: article

Abstract: Motivation: Distinguishing between pathogenic cancer-associated mutations and other somatic variants present in cell-free DNA (cfDNA) is one of the challenges in the field of liquid biopsy. This distinction is critical, since the misclassification of mutations stemming from clonal hematopoiesis (CH) as tumor-derived and vice versa could result in inaccurate diagnoses and inappropriate therapeutic interventions for patients. Results: : https://github.com/FPalizban/SSGAN.

Source: Heliyon

DOI: 10.1016/j.heliyon.2024.e39379

Authors: Fahimeh Palizban, Mohammadmahdi Sarbishegi, Kaveh Kavousi, Mahya Mehrmohamadi

Institution: University of Tehran

Language: English

Topic: Cancer Genomics and Diagnostics

Subfield: Cancer Research

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,100