Title : 
Detection of heterogeneously expressed genes in cancer
         
        
            Author : 
Haney, Scott ; Kam, Moshe ; Hrebien, Leonid
         
        
            Author_Institution : 
Data Fusion Lab., Drexel Univ., Philadelphia, PA
         
        
        
        
        
        
            Abstract : 
Several mutations have been found to be heterogeneous throughout cancer samples. As an example, approximately 20% of lung cancer cases have a mutation in the proto-oncogene RAS. In order to specifically test for heterogeneous mutations we introduce a new test that measures differences between quantiles. It will be shown that this test can achieve larger power values than a previously published test by Coombes et al. when sample sizes are small (10-20 samples) and the probability of mutation is small (10%-40%). When applied to two publicly available microarray data sets our method also produces lists of results that are 12% and 27% the size of those produced by Coombes et al.
         
        
            Keywords : 
cancer; genetics; lung; medical computing; gene mutations; heterogeneous mutations; heterogeneously expressed gene detection; lung cancer; microarray data sets; mutation probability; proto-oncogene RAS mutation; Bioinformatics; Cancer detection; Diseases; Genetic mutations; Genomics; Humans; Laboratories; Lungs; Probability density function; Testing;
         
        
        
        
            Conference_Titel : 
Genomic Signal Processing and Statistics, 2008. GENSiPS 2008. IEEE International Workshop on
         
        
            Conference_Location : 
Phoenix, AZ
         
        
            Print_ISBN : 
978-1-4244-2371-2
         
        
            Electronic_ISBN : 
978-1-4244-2372-9
         
        
        
            DOI : 
10.1109/GENSIPS.2008.4555657