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• W3004726115 abstract "The tumorgenesis process of lung cancer involves the regulatory dysfunctions of multiple pathways. Although many signaling pathways have been identified to be associated with lung cancer, there are little quantitative models of how inactions between genes change during the process from normal to cancer. These changes belong to different dynamic co-expressions patterns. We quantitatively analyzed differential co-expression of gene pairs in four datasets. Each dataset included a large number of lung cancer and normal samples. By overlapping their results, we got 14 highly confident gene pairs with consistent co-expression change patterns. Some of they, such as ARHGAP30 and GIMAP4, had been recorded in STRING network database while some of them were novel discoveries, such as C9orf135 and MORN5, TEKT1 and TSPAN1 were positively correlated in both normal and cancer but more correlated in normal than cancer. These gene pairs revealed the underlying mechanisms of lung cancer occurrence. • We analyzed differential co-expression of gene pairs in four datasets. • We got 14 highly confident gene pairs with consistent co-expression change patterns. • We uesd an R package DiffCorr." @default.
• W3004726115 created "2020-02-14" @default.
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• W3004726115 date "2020-05-01" @default.
• W3004726115 modified "2023-10-14" @default.
• W3004726115 title "The detection and analysis of differential regulatory communities in lung cancer" @default.
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• W3004726115 doi "https://doi.org/10.1016/j.ygeno.2020.02.005" @default.
• W3004726115 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32045668" @default.
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