Now showing items 1-2 of 2

    • Molecular Sampling of Prostate Cancer: A Dilemma for Predicting Disease Progression 

      Sboner, Andrea; Demichelis, Francesca; Calza, Stefano; Pawitan, Yudi; Hoshida, Yujin; Perner, Sven; Andersson, Swen-Olof; Varenhorst, Eberhard; Johansson, Jan-Erik; Gerstein, Mark B; Rubin, Mark A; Andrén, Ove; Setlur, Sunita Ramakrishna; Adami, Hans-Olov; Fall, Katja; Mucci, Lorelei Ann; Kantoff, Philip Wayne; Stampfer, Meir; Golub, Todd R. (BioMed Central, 2010)
      Background: Current prostate cancer prognostic models are based on pre-treatment prostate specific antigen (PSA) levels, biopsy Gleason score, and clinical staging but in practice are inadequate to accurately predict disease ...
    • Optimizing Copy Number Variation Analysis Using Genome-wide Short Sequence Oligonucleotide Arrays 

      Oldridge, Derek A.; Banerjee, Samprit; Setlur, Sunita Ramakrishna; Sboner, Andrea; Demichelis, Francesca (Oxford University Press, 2010)
      The detection of copy number variants (CNV) by array-based platforms provides valuable insight into understanding human diversity. However, suboptimal study design and data processing negatively affect CNV assessment. We ...