var fDesc=new Array(); fDesc[0] = "ArrayNorm is an platform-independent Java tool for normalization and statistical analysis for microarray-experiment data. It provides modules for visualization (scatterplot, histogram, boxplot, etc.), normalization and analysis. The user can upload any number of microarray-datasets, resulting from one experiment. According to experimental design and relationships between the microarrays, the data is organized for later analysis and replicate handling. Arraynorm features a variety of normalization methods, such as 'global median', 'dyeswap-pairs normalization', 'lowess fitting' and 'normalization using control-spots'. Differentially expressed genes can be found using foldchange-detection or statistical tests (t-test). All DE genes can be printed to a textfile, allowing further analysis with other software-tools (like Genesis)."; function tShowHide(id, show) { var s = document.getElementById("desc"); if ((s.innerHTML.length<=212 || show==1) && show!=2) { s.innerHTML = fDesc[id]; if (document.getElementById('m1')) document.getElementById('m1').style.display='none'; if (document.getElementById('m2')) document.getElementById('m2').style.display='none'; if (document.getElementById('more_txt')) document.getElementById('more_txt').style.display='inline'; } else { s.innerHTML = ''; } }