Machine Learning for Single Cell RNA Sequencing Data Analysis: An Unsupervised Learning Approach towards Subclonal Cell Population Identification for Target Therapy Applications Against Tumor Heterogeneity

By Anastasia Dunca In this work, I investigated machine learning algorithms for the effectiveness of statistical analysis on single cell RNA sequencing data for development of immunotherapy strategies. Single-cell RNA sequencing is an innovative tool in bioinformatics that is a group of methods that quantify the amount of RNA in a sample. This is very useful in the topic of …