TY - JOUR AU - Siriwardhana, Chathura AU - Datta, Susmita AU - Datta, Somnath PY - 2016 DA - 2016/12/20 TI - Inter-platform concordance of gene expression data for the prediction of chemical mode of action JO - Biology Direct SP - 67 VL - 11 IS - 1 AB - It is interesting to study the consistency of outcomes arising from two genomic platforms: Microarray and RNAseq, which are established on fundamentally different technologies. This topic has been frequently discussed from the prospect of comparing differentially expressed genes (DEGs). In this study, we explore the inter-platform concordance between microarray and RNASeq in their ability to classify samples based on genomic information. We use a set of 7 standard multi-class classifiers and an adaptive ensemble classifier developed around them to predict Chemical Modes of Actions (MOA) of data profiled by microarray and RNASeq platforms from Rat Liver samples exposed to a variety of chemical compounds. We study the concordance between microarray and RNASeq data in various forms, based on classifier’s performance between two platforms. SN - 1745-6150 UR - https://doi.org/10.1186/s13062-016-0167-9 DO - 10.1186/s13062-016-0167-9 ID - Siriwardhana2016 ER -