Article ; Online: Pathway-based analyses.
BMC genetics
2016 Volume 17 Suppl 2, Page(s) 5
Abstract: Background: New technologies for acquisition of genomic data, while offering unprecedented opportunities for genetic discovery, also impose severe burdens of interpretation and penalties for multiple testing.: Methods: The Pathway-based Analyses ... ...
Abstract | Background: New technologies for acquisition of genomic data, while offering unprecedented opportunities for genetic discovery, also impose severe burdens of interpretation and penalties for multiple testing. Methods: The Pathway-based Analyses Group of the Genetic Analysis Workshop 19 (GAW19) sought reduction of multiple-testing burden through various approaches to aggregation of highdimensional data in pathways informed by prior biological knowledge. Results: Experimental methods testedincluded the use of "synthetic pathways" (random sets of genes) to estimate power and false-positive error rate of methods applied to simulated data; data reduction via independent components analysis, single-nucleotide polymorphism (SNP)-SNP interaction, and use of gene sets to estimate genetic similarity; and general assessment of the efficacy of prior biological knowledge to reduce the dimensionality of complex genomic data. Conclusions: The work of this group explored several promising approaches to managing high-dimensional data, with the caveat that these methods are necessarily constrained by the quality of external bioinformatic annotation. |
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MeSH term(s) | Computational Biology/methods ; Gene Expression ; Gene Regulatory Networks ; Genome, Human ; Humans ; Polymorphism, Single Nucleotide |
Language | English |
Publishing date | 2016-02-03 |
Publishing country | England |
Document type | Congress ; Research Support, N.I.H., Extramural |
ISSN | 1471-2156 |
ISSN (online) | 1471-2156 |
DOI | 10.1186/s12863-015-0314-9 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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