CancerDetector: ultrasensitive and non-invasive cancer detection at the resolution of individual reads using cell-free DNA methylation sequencing data

Author:

Li Wenyuan1,Li Qingjiao1,Kang Shuli2,Same Mary1,Zhou Yonggang1,Sun Carol3,Liu Chun-Chi4,Matsuoka Lea5,Sher Linda6,Wong Wing Hung78,Alber Frank2,Zhou Xianghong Jasmine19

Affiliation:

1. Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095, USA

2. Molecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA

3. Oak Park High School, Oak Park, CA 91377, USA

4. Institute of Genomics and Bioinformatics, National Chung Hsing University, Taiwan 40227, Republic of China

5. Division of Hepatobiliary Surgery & Liver Transplantation, Department of Surgery, Vanderbilt University Medical Center, Nashville, TN 37232, USA

6. Department of Surgery, University of Southern California, Keck School of Medicine, Los Angeles, Los Angeles, CA 90033, USA

7. Department of Statistics, Stanford University, Stanford, CA 94305, USA

8. Department of Health Research & Policy, Stanford University, Stanford, CA 94305, USA

9. Institute for Quantitative and Computational Biosciences, University of California at Los Angeles, Los Angeles, CA 90095, USA

Funder

National Institutes of Health

National Science Foundation

Publisher

Oxford University Press (OUP)

Subject

Genetics

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