Prediction of transcription factor binding affinity upon cytosine methylation by using a machine learning algorithm.

Identifier:  TFG:9021

Handle: https://hdl.handle.net/20.500.11797/TFG9021

Authors:  Rodríguez Riera, Pau

Abstract:
In this TFG we will assess the effect that 5-methylcytosine methylation can cause to the affinity of certain transcription factors and their corresponding transcription factor binding site. We will use DNAffinity, a machine learning algorithm that predicts affinity for a specific transcription factor binding site trained on experimental data. This is a technical TFG, we will integrate and uniform different sections of the code, previously developed, in order allow it to work with methylation, to be able to reduce its dependencies and simplify its execution. It seems to only predict affinities correctly with HT-SELEX data.