Expressionary data from tissue microarray experiments: analysis and graphical representation

Large scale experiments may take advantage from technological support in gathering and handling data to enhance reliable further data analysis. Data quality is definitely a crucial issue. To address these purposes we designed and constructed an integrated web system (https://bioinfo.itc.it/TMA) to handle Tissue Microarray (TMA) data experiments [1,2], exploiting digital pathology [3] to automate data collection. Our efforts are now voted to data analysis. We present two TMA datasets highlighting two different aspects related to TMA experiments approach: i. investigations on a set of about 10 markers on ovary dataset, aimed both to analyse ovarian gene profiles and intra-markers correlations and to improve the predicting power of the prognostic model; ii. analysis of automated evaluation of expression of immunohistochemical markers in a series of breast carcinoma cases compared to pathologist’s evaluation and surviva