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Fingerprints of cancer by persistent homology
View ORCID ProfileA. Carpio, View ORCID ProfileL. L. Bonilla, View ORCID ProfileJ. C. Mathews, A. R. Tannenbaum
doi: https://doi.org/10.1101/777169
A. Carpio
1Departamento de Matemática Aplicada, Universidad Complutense de Madrid, 28040 Madrid, Spain
L. L. Bonilla
2Gregorio Millán Institute for Fluid Dynamics, Nanoscience and Industrial Mathematics, and Department of Materials Science and Engineering and Chemical Engineering, Universidad Carlos III de Madrid, 28911 Leganés, Spain
J. C. Mathews
3Department of Medical Physics, Memorial Sloan Kettering Cancer Center, NY 10065, USA
A. R. Tannenbaum
3Department of Medical Physics, Memorial Sloan Kettering Cancer Center, NY 10065, USA
4Departments of Computer Science & Applied Mathematics, Stony Brook University, Stony Brook, NY 11794, USA

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Posted September 23, 2019.
Fingerprints of cancer by persistent homology
A. Carpio, L. L. Bonilla, J. C. Mathews, A. R. Tannenbaum
bioRxiv 777169; doi: https://doi.org/10.1101/777169
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