Material Information

Exploration of Methods to Analyze Epigenetics and Epidemiology of Acute Myeloid Leukemia Using Python and R
Sarah Mason
Isabelle Bichindaritz
Publication Date:


Subjects / Keywords:
bioinformatics, oncology


Epigenetics can change over time due to many factors such as lifestyle and environment. The presence and quantification of methylation, a type of epigenetics, in relation to gender and survival can show the differences between outcomes based on these factors. This allows synthesis of connections between factors yielding wisdom about cancer progression. Using conventional and machine learning techniques within Python and R, analysis of epigenetics in relation to gender, survival can provide insight into better screening and understanding of Acute Myeloid Leukemia (AML).
Collected for SUNY Oswego Institutional Repository by the online self-submittal tool. Submitted by Isabelle Bichindaritz.

Record Information

Source Institution:
SUNY Oswego Institutional Repository
Holding Location:
SUNY Oswego Institution
Rights Management:
All applicable rights reserved by the source institution and holding location.


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