TY - JOUR AU - Gormley, Michael AU - Tozeren, Aydin PY - 2008 DA - 2008/11/17 TI - Expression profiles of switch-like genes accurately classify tissue and infectious disease phenotypes in model-based classification JO - BMC Bioinformatics SP - 486 VL - 9 IS - 1 AB - Large-scale compilation of gene expression microarray datasets across diverse biological phenotypes provided a means of gathering a priori knowledge in the form of identification and annotation of bimodal genes in the human and mouse genomes. These switch-like genes consist of 15% of known human genes, and are enriched with genes coding for extracellular and membrane proteins. It is of interest to determine the prediction potential of bimodal genes for class discovery in large-scale datasets. SN - 1471-2105 UR - https://doi.org/10.1186/1471-2105-9-486 DO - 10.1186/1471-2105-9-486 ID - Gormley2008 ER -