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Analysis of Epigenetics and Epidemiology of Acute Myeloid Leukemia with Machine Learning

Material Information

Title:
Analysis of Epigenetics and Epidemiology of Acute Myeloid Leukemia with Machine Learning
Creator:
Sarah Mason
Physical Description:
Thesis

Thesis/Dissertation Information

Graduation Semester:
May 2020

Subjects

Subjects / Keywords:
bioinformatics oncology

Notes

Abstract:
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.
Acquisition:
Collected for SUNY Oswego Institutional Repository by the online self-submittal tool. Submitted by Sarah Mason.

Record Information

Source Institution:
SUNY Oswego Institutional Repository
Holding Location:
SUNY Oswego Institution
Rights Management:
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.