Linked Life Data

17432273

Source:http://linkedlifedata.com/resource/pubmed/id/17432273

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2007-4-13
pubmed:abstractText
Integrated data analysis is introduced as the intermediate level of a systems biology approach to analyse different 'omics' datasets, i.e., genome-wide measurements of transcripts, protein levels or protein-protein interactions, and metabolite levels aiming at generating a coherent understanding of biological function. In this chapter we focus on different methods of correlation analyses ranging from simple pairwise correlation to kernel canonical correlation which were recently applied in molecular biology. Several examples are presented to illustrate their application. The input data for this analysis frequently originate from different experimental platforms. Therefore, preprocessing steps such as data normalisation and missing value estimation are inherent to this approach. The corresponding procedures, potential pitfalls and biases, and available software solutions are reviewed. The multiplicity of observations obtained in omics-profiling experiments necessitates the application of multiple testing correction techniques.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1023-294X
pubmed:author
pubmed:issnType
Print
pubmed:volume
97
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
309-29
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Integrated data analysis for genome-wide research.
pubmed:affiliation
Institute for Biology and Biochemistry, University Potsdam, c/o MPI-MP Am Mühlenberg 1, D-14476 Potsdam-Golm, Germany. steinfath@mpimp-golm.mpg.de
pubmed:publicationType
Journal Article, Review