A pathway analysis-based algorithm for calculating the participation degree of ncRNA in transcriptome.

ABSTRACT: After sequencing, it is common to screen ncRNA according to expression differences. But this may lose a lot of valuable information and there is currently no indicator to characterize the regulatory function and participation degree of ncRNA on transcriptome. Based on existing pathway enrichment methods, we developed a new algorithm to calculating the participation degree of ncRNA in transcriptome (PDNT). Here we analyzed multiple data sets, and differentially expressed genes (DEGs) were used for pathway enrichment analysis. The PDNT algorithm was used to calculate the Contribution value (C value) of each ncRNA based on its target genes and the pathways they participates in. The results showed that compared with ncRNAs screened by log2 fold change (FC) and p-value, those screened by C valu

SUBMITTER: Gu X 

PROVIDER: S-EPMC9805457 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature