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3 result(s) for 'hulsman' within BMC Bioinformatics

1. Detection and correction of probe-level artefacts on microarrays

   A recent large-scale analysis of Gene Expression Omnibus (GEO) data found frequent evidence for spatial defects in a substantial fraction of Affymetrix microarrays in the GEO. Nevertheless, in contrast to qual...

   Authors: Tobias Petri, Evi Berchtold, Ralf Zimmer and Caroline C Friedel

   Citation: BMC Bioinformatics 2012 13:114

   Content type: Research article Published on: 30 May 2012

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2. Delineation of amplification, hybridization and location effects in microarray data yields better-quality normalization

   Oligonucleotide arrays have become one of the most widely used high-throughput tools in biology. Due to their sensitivity to experimental conditions, normalization is a crucial step when comparing measurements...

   Authors: Marc Hulsman, Anouk Mentink, Eugene P van Someren, Koen J Dechering, Jan de Boer and Marcel JT Reinders

   Citation: BMC Bioinformatics 2010 11:156

   Content type: Methodology article Published on: 26 March 2010

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3. Detecting recurrent gene mutation in interaction network context using multi-scale graph diffusion

   Delineating the molecular drivers of cancer, i.e. determining cancer genes and the pathways which they deregulate, is an important challenge in cancer research. In this study, we aim to identify pathways of fr...

   Authors: Sepideh Babaei, Marc Hulsman, Marcel Reinders and Jeroen de Ridder

   Citation: BMC Bioinformatics 2013 14:29

   Content type: Methodology article Published on: 23 January 2013

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