Paper Info
Title
The Prognostic Role Of Genes With Skewed Expression Distribution In Lung Adenocarcinoma
Abstract
Many studies assumed gene expression to be normally distributed. However, some were found to have left-skewed distribution, while others have right-skewed distribution. Here, we investigated the gene expression distribution of five lung adenocarcinoma data sets. We assumed that samples in the tail and non-tail of a skewed distribution were drawn from different populations with different survival outcomes. To investigate this hypothesis, skewed genes were detected to build a tail indicator matrix comprising of binary values. Survival analysis revealed that patients with more skewed genes in their tails had worse survival. Hierarchical clustering of the tail indicator matrices discovered a gene set with similar tail configurations for either left or right skewed genes. The two gene sets divided patients into three groups with different survivals. In conclusion, there is a direct association between genes with skewed distribution and the prognosis of lung adenocarcinoma patients.
Year
DOI
Venue
2017
10.1007/978-3-319-67777-4_57
INTELLIGENCE SCIENCE AND BIG DATA ENGINEERING, ISCIDE 2017
Keywords
Field
DocType
Skewed distribution, Gene expression, RNA-sequencing, Microarray, Survival, Lung adenocarcinoma
Hierarchical clustering,Microarray,Gene,Biology,Lung,Gene expression,Adenocarcinoma,Computational biology,Survival analysis
Conference
Volume
ISSN
Citations 
10559
0302-9743
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Yajing Chen101.35
Shikui Tu23914.25
Lei Xu33590387.32