Gene Co-expression Network analysis of Lung Squamous Cell Carcinoma data
We performed a gene co-expression analysis on Lung Squamous Cell Carcinoma data to find modules (groups) of genes that may highly impact the growth of these type of tumors. Additionally, we used cancer survival data to relate modules to prognostic significance in terms of survival time. Analysis on...
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Main Author | |
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Format | Journal Article |
Language | English |
Published |
03.04.2018
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Subjects | |
Online Access | Get full text |
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Summary: | We performed a gene co-expression analysis on Lung Squamous Cell Carcinoma
data to find modules (groups) of genes that may highly impact the growth of
these type of tumors. Additionally, we used cancer survival data to relate
modules to prognostic significance in terms of survival time. Analysis on
RNA-seq data revealed modules which are significant in gene enrichment
analysis. Specifically, two genes - RFC4 and ECT2 - have been found to be
significant in terms of survival time. We also performed a second gene
co-expression analysis on a second dataset of microarray data, and many
significant genes found in this analysis could also be found in the RNA-seq
data implying that these genes might indeed play a crucial role in Lung
Squamous Cancer. All the R code for the analysis can be found at:
\url{https://github.com/nafizh/Gene_coexpression_analysis_lung_cancer} |
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DOI: | 10.48550/arxiv.1804.01217 |