Bio-Inspired Models of Network, Information, and Computing Systems. 5th International ICST Conference, BIONETICS 2010, Boston, USA, December 1-3, 2010, Revised Selected Papers

Research Article

A Method for the Detection of Meaningful and Reproducible Group Signatures from Gene Expression Profiles

Download
669 downloads
  • @INPROCEEDINGS{10.1007/978-3-642-32615-8_38,
        author={Louis Licamele and Lise Getoor},
        title={A Method for the Detection of Meaningful and Reproducible Group Signatures from Gene Expression Profiles},
        proceedings={Bio-Inspired Models of Network, Information, and Computing Systems. 5th International ICST Conference, BIONETICS 2010, Boston, USA, December 1-3, 2010, Revised Selected Papers},
        proceedings_a={BIONETICS},
        year={2012},
        month={10},
        keywords={gene expression analysis gene expression profiles drug discovery bioinformatics data mining},
        doi={10.1007/978-3-642-32615-8_38}
    }
    
  • Louis Licamele
    Lise Getoor
    Year: 2012
    A Method for the Detection of Meaningful and Reproducible Group Signatures from Gene Expression Profiles
    BIONETICS
    Springer
    DOI: 10.1007/978-3-642-32615-8_38
Louis Licamele,*, Lise Getoor1
  • 1: University of Maryland
*Contact email: licamele@cs.umd.edu

Abstract

Gene expression microarrays are commonly used to detect the biological signature of a disease or to gain a better understanding of the underlying mechanism of how a group of drugs treat a specific disease. The outcome of such experiments, e.g., the signature, is a list of differentially expressed genes. Reproducibility across independent experiments remains a challenge. We are interested in creating a method that can detect the shared signature of a group of expression profiles, e.g., a group of samples from individuals with the same disease or a group of drugs that treat the same therapeutic indication. We have developed a novel Weighted Influence - Rank of Ranks (WIMRR) method, and we demonstrate its ability to produce both meaningful and reproducible group signatures.