PMC:5197943 / 38310-39710 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/5197943","sourcedb":"PMC","sourceid":"5197943","source_url":"https://www.ncbi.nlm.nih.gov/pmc/5197943","text":"5. Conclusions\nWe presented OSAnalyzer, an integrated software platform for the automatic generation and analysis of survival curves of patients subject to genotyping analysis using DMET microarray.\nThe automatic analysis of the whole microarray dataset avoids wasting time on the manual analysis of all probes in order to figure out which probes are relevant from an overall survival or PFS point of view.\nOSAnalyzer, as opposed to SAM, survcomp, cBioPortal, Net-Cox, R, PSPP, and many other tools, makes it easy to analyze a whole DMET dataset, automatizing the pre-processing data steps. The currently available tools allow users to start the survival analysis only if the data are arranged in a compatible way with their data format. Thus, the pre-processing step could be error prone and time consuming because users have to manually arrange the data without being supported by the tool. Furthermore, all of the single setups have to be repeated for each row (gene) that has to be analyzed, forcing the users to manually investigate all the dataset to discover which rows are significant from a survival or PFS point of view. OSAnalyzer overcomes these issues providing to the user the p-value significance in term of PFS and overall survival in two different windows, sorted in descending order of p-value significance obtained by comparing the area under the curves by using the log-rank test.","divisions":[{"label":"Title","span":{"begin":0,"end":14}}],"tracks":[]}