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200630n^^^^^^^^xx^^^^^^s^^^^^^^^^^^eng^d |
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|a Analysis of Epigenetics and Epidemiology of Acute Myeloid Leukemia with Machine Learning |h [electronic resource]. |
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|a [cc by] This item is licensed with the Creative Commons Attribution License. This license lets others distribute, remix, tweak, and build upon this work, even commercially, as long as they credit the author for the original creation. |
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|a Epidemiology of Acute Myeloid Leukemia shows strong genetic and epigenetic links by types and severity. To study the disease, patient samples are translated into data. Using advanced data analytics techniques, supervised machine learning, epigenetic research acquires efficiency for synthesis and building knowledge based on clinical data. There are known factors supported by research. The combination of factor produces higher severity in Acute Myeloid Leukemia by clinical considerations, AML subclass, and methylation. |
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|a Electronic reproduction. |c SUNY Oswego Institutional Repository, |d 2020. |f (Oswego Digital Library) |n Mode of access: World Wide Web. |n System requirements: Internet connectivity; Web browser software. |
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|a SUNY Oswego Institution. |
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|a Collected for SUNY Oswego Institutional Repository by the online self-submittal tool. Submitted by Sarah Mason. |
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|a bioinformatics oncology. |
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|a Oswego Digital Library. |
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|a Electronic Theses and Dissertations. |
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|a OswegoDL |c Electronic Theses and Dissertations |
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|u https://digitallibrary.oswego.edu/SUOS000902/00001 |y Electronic Resource |
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|a https:/digitallibrary.oswego.edu/content/SU/OS/00/09/02/00001/Mason_S_MSBHIthm.jpg |
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|a Electronic Theses and Dissertations |