The power of high-dimensional data in genomics research

Author(s):
Iterson, M. van
Published
2013
Publication type
Doctoral Thesis

Abstract

In this thesis novel statistical methods that help scientists extract maximal information from high-dimensional data, in particular those derived by transcriptomics, are presented.

Power and sample size analysisHigh-dimensional dataTranscriptomics
Defense date
2013-11-28
Language
English
Supervisor(s)
Ommen, G.J.B. van
Advisor(s)
Menezes, R.X. de;
Qualification
Ph.D.
Degree granting institution
Leiden University Medical Center (LUMC), Leiden University, Leiden
hdl
1887/22619
ISBN(s)
9789090275970

Funding

Sponsorship
This study was supported by a grant from the Centre for Medical Systems Biology within the framework of the Netherlands Genomics Initiative (NGI)/Netherlands Organisation for Scientific Research (NWO). This work is part of the BioRange bioinformatics research program supported by the Netherlands Bioinformatics Centre (NBIC).