The purpose of this project is to gain valuable insights about causal relationships between different sets of genes and diseases by designing ranking aggregation methods. The lack of comprehensive data that can tie alterations in gene expressions with specific diseases has driven scientists to use ranking aggregation methods to analyze the effect of gene-alterations on
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