Now showing items 1-4 of 4
Splice Expression Variation Analysis (SEVA) for inter-tumor heterogeneity of gene isoform usage in cancer
(Oxford University Press, 2018)
Motivation Current bioinformatics methods to detect changes in gene isoform usage in distinct phenotypes compare the relative expected isoform usage in phenotypes. These statistics model differences in isoform usage in ...
NF‐κB and stat3 transcription factor signatures differentiate HPV‐positive and HPV‐negative head and neck squamous cell carcinoma
Using high-throughput analyses and the TRANSFAC database, we characterized TF signatures of head and neck squamous cell carcinoma (HNSCC) subgroups by inferential analysis of target gene expression, correcting for the ...
Activation of the NOTCH Pathway in Head and Neck Cancer
(American Association for Cancer Research, 2014)
NOTCH1 mutations have been reported to occur in 10% to 15% of head and neck squamous cell carcinomas (HNSCC). To determine the significance of these mutations, we embarked upon a comprehensive study of NOTCH signaling in ...
Correcting transcription factor gene sets for copy number and promoter methylation variations
Gene set analysis provides a method to generate statistical inferences across sets of linked genes, primarily using high-throughput expression data. Common gene sets include biological pathways, operons, and targets of ...