Abstract:Cancer cell lines serve as model in vitro systems for investigating therapeutic interventions. Recent advances in high‐throughput genomic profiling have enabled the systematic comparison between cell lines and patient tumor samples. The highly interconnected nature of biological data, however, presents a challenge when mapping patient tumors to cell lines. Standard clustering methods can be particularly susceptible to the high level of noise present in these datasets and only output clusters at one unknown sca… Show more
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