Ontology highlight
ABSTRACT:
SUBMITTER: Johansson LF
PROVIDER: S-EPMC6296037 | biostudies-literature | 2018 Dec
REPOSITORIES: biostudies-literature
Johansson Lennart F LF de Weerd Hendrik A HA de Boer Eddy N EN van Dijk Freerk F Te Meerman Gerard J GJ Sijmons Rolf H RH Sikkema-Raddatz Birgit B Swertz Morris A MA
BMC bioinformatics 20181217 1
<h4>Background</h4>Various algorithms have been developed to predict fetal trisomies using cell-free DNA in non-invasive prenatal testing (NIPT). As basis for prediction, a control group of non-trisomy samples is needed. Prediction accuracy is dependent on the characteristics of this group and can be improved by reducing variability between samples and by ensuring the control group is representative for the sample analyzed.<h4>Results</h4>NIPTeR is an open-source R Package that enables fast NIPT ...[more]