Title : 
Probabilistic Analysis of Probe Reliability in Differential Gene Expression Studies with Short Oligonucleotide Arrays
         
        
            Author : 
Lahti, Leo ; Elo, Laura L. ; Aittokallio, Tero ; Kaski, Samuel
         
        
            Author_Institution : 
Dept. of Inf. & Comput. Sci., Aalto Univ., Aalto, Finland
         
        
        
        
        
        
        
            Abstract : 
Probe defects are a major source of noise in gene expression studies. While existing approaches detect noisy probes based on external information such as genomic alignments, we introduce and validate a targeted probabilistic method for analyzing probe reliability directly from expression data and independently of the noise source. This provides insights into the various sources of probe-level noise and gives tools to guide probe design.
         
        
            Keywords : 
bioinformatics; genetics; noise; differential gene expression; noise; probabilistic analysis; probe reliability; short oligonucleotide array; targeted probabilistic method; Bioinformatics; Gene expression; Genetics; Genomics; Information analysis; Large-scale systems; Measurement techniques; Probes; Robustness; Signal design; Applications; biology and genetics; parameter learning; probabilistic algorithms.; Algorithms; Chi-Square Distribution; Computational Biology; Gene Expression Profiling; Genome; Humans; Models, Statistical; Normal Distribution; Nucleic Acid Probes; Oligonucleotide Array Sequence Analysis; Polymorphism, Single Nucleotide; ROC Curve; Reproducibility of Results; Sequence Alignment;
         
        
        
            Journal_Title : 
Computational Biology and Bioinformatics, IEEE/ACM Transactions on
         
        
        
        
        
            DOI : 
10.1109/TCBB.2009.38