SePaCS--a web-based application for classification of seroreactivity profiles.

ABSTRACT: Immunogenic antigen sets possess high potential for minimally invasive disease detection and monitoring. For various diseases, including cancer, appropriate antigen sets have already been detected in blood sera of patients. Typically, a large number of sera from diseased and unaffected persons is screened for the antigens of interest. Sophisticated statistical learning approaches are trained on the resulting data set to classify sera as either tumor or normal sera. We developed a web-based application, called 'Seroreactivity Profile Classification Service' (SePaCS) that enables clinical groups to carry out analyzes of training sets and predictions of unclassified seroreactivity profiles with minimal effort. SePaCS provides a broad range of classification methods: four versions of a Naïve B

SUBMITTER: Keller A 

PROVIDER: S-EPMC1933220 | biostudies-literature | 2007 Jul

REPOSITORIES: biostudies-literature