Maarten Neerincx

Learn More
Using a bioinformatics-based strategy, we set out to identify hypermethylated genes that could serve as biomarkers for early detection of colorectal cancer (CRC) in stool. In addition, the complementary value to a Fecal Immunochemical Test (FIT) was evaluated. Candidate genes were selected by applying cluster alignment and computational analysis of promoter(More)
BACKGROUND Adjusting the threshold for positivity of quantitative fecal immunochemical tests (FIT) allows for controlling the number of follow-up colonoscopies in a screening program. However, it is unknown to what extent higher cutoff levels affect detection rates of screen-relevant neoplasia. This study aimed to assess the effect of higher cutoff levels(More)
Complex designs are common in (observational) clinical studies. Sequencing data for such studies are produced more and more often, implying challenges for the analysis, such as excess of zeros, presence of random effects and multi-parameter inference. Moreover, when sample sizes are small, inference is likely to be too liberal when, in a Bayesian setting,(More)
This document provides Supplementary Material for the paper " ShrinkBayes: a versatile R-package for analysis of count-based sequencing data in complex study designs ". To study the inferential performance of ShrinkBayes when the null-hypotheses are of the equality-type, H 0i : β i = 0, we compared 4 types of spike-containing priors under 20 different(More)
  • 1