Detail Statistical Methods for Analyzing Microarray Feature Data with Replications (Journal of Computational Biology Vol. 10, No 2) Bibliografi Author: Yang, Yaning ; Hoh, Josephine ; Broger, Clemens ; Neeb, Martin ; Edington, Joanne ; Lindpaintner, Klaus ; Ott, Jurg Topik: Oligonucleotide Microarray; Gene Expression; Linear Mixed-Effects Models; Microarray Bahasa: (EN )    Edisi: Apr 2003     Penerbit: Mary Ann Liebert     Tempat Terbit: New Rochelle    Tahun Terbit: 2003     Jenis: Article - diterbitkan di jurnal ilmiah internasional Fulltext: 106652703321825946[1].pdf (594.97KB; 0 download) [Informasi yang berkaitan dengan koleksi ini di internet] Abstract Expression levels in oligonucleotide microarray experiments depend on a potentially large number of factors, for example, treatment conditions, different probes, different arrays, and so on. To dissect the effects of these factors on expression levels, fixed-effects ANOVA methods have previously been proposed. Because we are not necessarily interested in es¬timating the specific effects of different probes and arrays, we propose to treat these as random effects. Then we only need to estimate their means and variances but not the effect of each of their levels; that is, we can work with a much reduced number of parameters and, consequently, higher precision for estimating expression levels. Thus, we developed a mixed-effects ANOVA model with some random and some fixed effects. It automatically accounts for local normalization between different arrays and for background correction. The method was applied to each of the 6,584 genes investigated in a microarray experiment on two mouse cell lines, PA6/S and PA6/8, where PA6/S enhances proliferation of Pre B cells in vitro but PA6/8 does not. To detect a set of differentially expressed genes (multiple testing problem), we applied the method of controlling the false discovery rate (FDR), which successfully identified 207 genes with significantly different expression levels. Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Lihat Sejarah Pengadaan  Konversi Metadata   Kembali

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