Rachel Y Oh, Ali AlMail, David Cheerie, George Guirguis, Huayun Hou, Kyoko E Yuki, Bushra Haque, Bhooma Thiruvahindrapuram, Christian R Marshall, Roberto Mendoza-Londono, Adam Shlien, Lianna G Kyriakopoulou, Susan Walker, James J Dowling, Michael D Wilson, Gregory Costain
A systematic assessment of the impact of rare canonical splice site variants on splicing using functional and in silico methods
HGG advances
gene expression profile analyses used numerous studies covering broad range areas biology unreliable measurements excluded missing values introduced gene expression profiles although existing multivariate analysis methods difficulty treatment missing values problem received little attention many options dealing missing values reaches drastically different results ignoring missing values simplest method frequently applied approach however flaws article propose estimation method missing values based bayesian principal component analysis bpca although methodology probabilistic model latent variables estimated simultaneously within framework bayes inference new principle actual bpca implementation makes possible estimate arbitrary missing variables new terms statistical methodologywhen applied dna microarray data various experimental conditions bpca method exhibited markedly better estimation ability recently proposed methods singular value decomposition knearest neighbors estimation performance existing methods depends model parameters whose determination difficult bpca method free difficulty accordingly bpca method provides accurate convenient estimation missing valuesthe software available httphawaiiaistnaraacjpshigeotools