Skip to main content
State University of New York at Oswego
myOswegoDL Home
Penfield Library
|
OswegoDL Home
Analysis of Epigenetics and Epidemiology of Acute Myeloid Leukemia with Machine Learning
Item menu
Print
Send
Add
Share
Description
Standard View
MARC View
Metadata
Usage Statistics
PDF
Downloads
PRIVATE ITEM
Digitization of this item is currently in progress.
STANDARD VIEW
MARC VIEW
METADATA
USAGE STATISTICS
Open-NJ Link:
https://digitallibrary.oswego.edu/SUOS000902/00001
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.
OswegoDL Membership
Aggregations:
SUNY Oswego Historical Materials
Added automatically
Electronic Theses and Dissertations