2 citations · 3 across the 7 of their papers we have counts for
5 papers · 1 filter
On the combination of omics data for prediction of binary outcomes
Mar Rodríguez-Girondo, Alexia Kakourou, Perttu Salo +5
Enrichment of predictive models with new biomolecular markers is an important task in high-dimensional omic applications. Increasingly, clinical studies include several sets of suc…
Adapting censored regression methods to adjust for the limit of detection in the calibration of diagnostic rules for clinical mass spectrometry proteomic data
Alexia Kakourou, Werner Vach, Bart Mertens
Despite the recent advances in mass spectrometry (MS), summarizing and analyzing high-throughput mass-spectrometry data remains a challenging task. This is, on the one hand, due to…
Transformation, normalization and batch effect in the analysis of mass spectrometry data for omics studies
Bart J. A. Mertens
Data transformation, normalization and handling of batch effect are a key part of data analysis for almost all spectrometry-based omics data. This paper reviews and contrasts these…
Statistical development and assessment of summary measures to account for isotopic clustering of Fourier transform mass spectrometry data in clinical diagnostic studies
Alexia Kakourou, Werner Vach, Simone Nicolardi +2
Mass spectrometry based clinical proteomics has emerged as a powerful tool for highthroughput protein profiling and biomarker discovery. Recent improvements in mass spectrometry te…
Sequential double cross-validation for assessment of added predictive ability in high-dimensional omic applications
Mar Rodríguez-Girondo, Perttu Salo, Tomasz Burzykowski +3
Enriching existing predictive models with new biomolecular markers is an important task in the new multi-omic era. Clinical studies increasingly include new sets of omic measuremen…