Expression Change Correlations Between Transposons and Their Adjacent Genes in Lung Cancers Reveal a Genomic Location Dependence and Highlights Cancer-Significant Genes.
Macarena ArroyoRafael LarrosaM. Gonzalo ClarosRocío BautistaPublished in: IWBBIO (1) (2019)
Keyphrases
- cell lines
- gene expression profiles
- expression profiles
- gene selection
- microarray
- cancer diagnosis
- cancer classification
- gene expression
- gene expression data
- microarray data
- microarray technology
- lung cancer
- gene sets
- dna microarray
- cell cycle
- genomic data
- related genes
- differential expression
- high throughput
- microarray datasets
- gene expression datasets
- breast cancer
- statistical significance
- colon cancer
- gene expression patterns
- complex diseases
- candidate genes
- gene expression levels
- genomic sequences
- gene ontology
- ovarian cancer
- gene prediction
- cancer datasets
- genome wide
- comparative genomics
- biologically meaningful
- regulatory networks
- high throughput sequencing
- high dimensionality
- dna binding
- escherichia coli
- early detection
- feature selection