Nucleotide Composition Based Measurement Bias in High Throughput Gene Expression Studies.
Roman JaksikWojciech BenszJaroslaw SmiejaPublished in: ICMMI (2015)
Keyphrases
- high throughput
- microarray
- gene expression
- gene expression data
- microarray data
- genome wide
- high throughput technologies
- biological data
- analysis of gene expression
- expression patterns
- systems biology
- gene ontology
- gene selection
- genomic data
- gene expression patterns
- gene expression profiles
- high dimensionality
- biological processes
- protein protein interactions
- gene regulation
- gene expression analysis
- microarray gene
- data acquisition
- meta analysis
- experimental conditions
- transcription factors
- molecular biology
- microarray technology
- binding sites
- protein interaction
- gene expression levels
- dna microarray
- mass spectrometry
- microarray data analysis
- rna seq
- single nucleotide polymorphisms
- regulatory elements
- cancer classification
- gene regulatory networks
- microarray datasets
- high dimensional