TY - JOUR AU - Neuhäuser, Markus AU - Boes, Tanja AU - Jöckel, Karl-Heinz PY - 2005 DA - 2005/02/22 TI - Two-part permutation tests for DNA methylation and microarray data JO - BMC Bioinformatics SP - 35 VL - 6 IS - 1 AB - One important application of microarray experiments is to identify differentially expressed genes. Often, small and negative expression levels were clipped-off to be equal to an arbitrarily chosen cutoff value before a statistical test is carried out. Then, there are two types of data: truncated values and original observations. The truncated values are not just another point on the continuum of possible values and, therefore, it is appropriate to combine two statistical tests in a two-part model rather than using standard statistical methods. A similar situation occurs when DNA methylation data are investigated. In that case, there are null values (undetectable methylation) and observed positive values. For these data, we propose a two-part permutation test. SN - 1471-2105 UR - https://doi.org/10.1186/1471-2105-6-35 DO - 10.1186/1471-2105-6-35 ID - Neuhäuser2005 ER -