Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313396987> ?p ?o ?g. }
- W4313396987 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 value regulated more DEGs in IPA canonical pathways, and their target DEGs were more concentrated in the core region of the protein-protein interaction (PPI) network. The ranking of disease critical ncRNAs increased integrally after sorting with C value. Collectively, we found that the PDNT algorithm provides a measure from another view compared with the log2FC and p-value and it may provide more clues to effectively evaluate ncRNA." @default.
- W4313396987 created "2023-01-06" @default.
- W4313396987 creator A5002191481 @default.
- W4313396987 creator A5024147822 @default.
- W4313396987 creator A5036712029 @default.
- W4313396987 creator A5045149100 @default.
- W4313396987 creator A5062118370 @default.
- W4313396987 creator A5079985407 @default.
- W4313396987 creator A5085789193 @default.
- W4313396987 date "2022-12-31" @default.
- W4313396987 modified "2023-09-26" @default.
- W4313396987 title "A pathway analysis-based algorithm for calculating the participation degree of ncRNA in transcriptome" @default.
- W4313396987 cites W144423133 @default.
- W4313396987 cites W1904402326 @default.
- W4313396987 cites W1912104500 @default.
- W4313396987 cites W1949326509 @default.
- W4313396987 cites W1966327575 @default.
- W4313396987 cites W1998142094 @default.
- W4313396987 cites W2000203225 @default.
- W4313396987 cites W2024329298 @default.
- W4313396987 cites W2035618305 @default.
- W4313396987 cites W2044832480 @default.
- W4313396987 cites W2046318418 @default.
- W4313396987 cites W2077466283 @default.
- W4313396987 cites W2087377443 @default.
- W4313396987 cites W2094242781 @default.
- W4313396987 cites W2098647860 @default.
- W4313396987 cites W2117391818 @default.
- W4313396987 cites W2118069309 @default.
- W4313396987 cites W2121189598 @default.
- W4313396987 cites W2122683221 @default.
- W4313396987 cites W2130410032 @default.
- W4313396987 cites W2139306163 @default.
- W4313396987 cites W2150354512 @default.
- W4313396987 cites W2162143298 @default.
- W4313396987 cites W2164780857 @default.
- W4313396987 cites W2171694179 @default.
- W4313396987 cites W2296678007 @default.
- W4313396987 cites W2397473687 @default.
- W4313396987 cites W2518331578 @default.
- W4313396987 cites W2522907865 @default.
- W4313396987 cites W2578247822 @default.
- W4313396987 cites W2581537254 @default.
- W4313396987 cites W2605977624 @default.
- W4313396987 cites W2742753509 @default.
- W4313396987 cites W2765709371 @default.
- W4313396987 cites W2789901330 @default.
- W4313396987 cites W2790562444 @default.
- W4313396987 cites W2790624090 @default.
- W4313396987 cites W2791467075 @default.
- W4313396987 cites W2888027311 @default.
- W4313396987 cites W2896177263 @default.
- W4313396987 cites W2903433148 @default.
- W4313396987 cites W2912756443 @default.
- W4313396987 cites W2914695622 @default.
- W4313396987 cites W2921882381 @default.
- W4313396987 cites W2935536932 @default.
- W4313396987 cites W2972034679 @default.
- W4313396987 cites W2999969997 @default.
- W4313396987 cites W3003687447 @default.
- W4313396987 cites W3004912218 @default.
- W4313396987 cites W307728228 @default.
- W4313396987 doi "https://doi.org/10.1038/s41598-022-27178-8" @default.
- W4313396987 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36587048" @default.
- W4313396987 hasPublicationYear "2022" @default.
- W4313396987 type Work @default.
- W4313396987 citedByCount "0" @default.
- W4313396987 crossrefType "journal-article" @default.
- W4313396987 hasAuthorship W4313396987A5002191481 @default.
- W4313396987 hasAuthorship W4313396987A5024147822 @default.
- W4313396987 hasAuthorship W4313396987A5036712029 @default.
- W4313396987 hasAuthorship W4313396987A5045149100 @default.
- W4313396987 hasAuthorship W4313396987A5062118370 @default.
- W4313396987 hasAuthorship W4313396987A5079985407 @default.
- W4313396987 hasAuthorship W4313396987A5085789193 @default.
- W4313396987 hasBestOaLocation W43133969871 @default.
- W4313396987 hasConcept C104317684 @default.
- W4313396987 hasConcept C119857082 @default.
- W4313396987 hasConcept C14036430 @default.
- W4313396987 hasConcept C150194340 @default.
- W4313396987 hasConcept C154945302 @default.
- W4313396987 hasConcept C162317418 @default.
- W4313396987 hasConcept C189430467 @default.
- W4313396987 hasConcept C194993378 @default.
- W4313396987 hasConcept C2776291640 @default.
- W4313396987 hasConcept C41008148 @default.
- W4313396987 hasConcept C54355233 @default.
- W4313396987 hasConcept C60644358 @default.
- W4313396987 hasConcept C67705224 @default.
- W4313396987 hasConcept C70721500 @default.
- W4313396987 hasConcept C86803240 @default.
- W4313396987 hasConceptScore W4313396987C104317684 @default.
- W4313396987 hasConceptScore W4313396987C119857082 @default.
- W4313396987 hasConceptScore W4313396987C14036430 @default.
- W4313396987 hasConceptScore W4313396987C150194340 @default.
- W4313396987 hasConceptScore W4313396987C154945302 @default.
- W4313396987 hasConceptScore W4313396987C162317418 @default.
- W4313396987 hasConceptScore W4313396987C189430467 @default.
- W4313396987 hasConceptScore W4313396987C194993378 @default.
- W4313396987 hasConceptScore W4313396987C2776291640 @default.