Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Genetic Processes
Employing A Machine Learning Approach In Precision Oncology To Predict Pik3ca Functional Status And Identify Phenocopying Variants Of Deleterious Pik3ca Mutations, Javier Castillo
CMC Senior Theses
The following proposal describes a modular machine learning approach that detects malfunctioning genes and pathways in cancer using the transcriptome of cancer patients. The transcriptome is underused in precision oncology and, combined with machine learning, can aid in the identification of hidden responders. Applied to the PI3K/AKT/mTOR pathway, this method can be used to predict PIK3CA functional status and identify phenocopying variants of deleterious PIK3CA mutations. The classifier will do this by integrating RNA-seq, copy number, and mutation data from tumors to determine the functional status of PIK3CA using a set of learned gene-specific weights. The classifier will then be …
Epigenetics: Blurring The Line Between Nature And Nurture, Elizabeth H. Rose
Epigenetics: Blurring The Line Between Nature And Nurture, Elizabeth H. Rose
CMC Senior Theses
This long-standing nature versus nurture debate is cited in behavioral and physical expressions of disease dysfunctions, resiliencies, and recovery. Their purposes are noted both in scientific pursuits as well as literature. This discourse has been particularly intense in the fields of psychology, psychiatry, and biology where there is a long history of scientists’ attempts to disprove or discredit others’ intellectual and professional measures. Interestingly, recent advances in the neurosciences and genetic technologies have brought these fields closer together with a new focus – the interactional relationship between nature and nurture – epigenetics.