Predicting cancer origins with DNA Methylation

dc.contributor.authorDjoumoi, Chaanraoui Ben
dc.contributor.authorCharif, Charif Abdallah Yahaya
dc.contributor.authorYoussouf, Rabianti Said
dc.date.accessioned2024-01-18T06:13:46Z
dc.date.available2024-01-18T06:13:46Z
dc.date.issued2023-05-30
dc.descriptionSupervised by Mr. Tareque Mohmud Chowdhury, Assistant Professor, Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladeshen_US
dc.identifier.citation[Liu+19] Biao Liu et al. “DNA methylation markers for pan-cancer prediction by deep learning”. In: Genes 10.10 (2019), p. 778. [Xia+20] Daniel Xia et al. “Minimalist approaches to cancer tissue-of-origin classification by DNA methylation”. In: Modern Pathology 33.10 (2020), pp. 1874–1888. [ZX20] Chunlei Zheng and Rong Xu. “Predicting cancer origins with a DNA methylation-based deep neural network model”. In: PloS one 15.5 (2020), e0226461. [Koe+21] Christian Koelsche et al. “Sarcoma classification by DNA methylation profiling”. In: Nature communications 12.1 (2021), p. 498.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/2057
dc.language.isoenen_US
dc.publisherDepartment of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladeshen_US
dc.titlePredicting cancer origins with DNA Methylationen_US
dc.typeThesisen_US

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