Matches in SemOpenAlex for { <https://semopenalex.org/work/W2887058963> ?p ?o ?g. }
- W2887058963 endingPage "197" @default.
- W2887058963 startingPage "189" @default.
- W2887058963 abstract "Long non-coding RNAs (lncRNA) play crucial roles in a variety of biological processes and complex diseases. Massive studies have indicated that lncRNAs interact with related proteins to exert regulation of cellular biological processes. Because it is time-consuming and expensive to determine lncRNA-protein interaction by experiment, more accurate predictions of interaction by computational methods are imperative. We propose a novel computational approach, predicting lncRNA-protein interaction using graph regularized nonnegative matrix factorization (LPGNMF), to discover unobserved lncRNA-protein association. First, we calculate lncRNA similarity and protein similarity by integrating the lncRNA expression information and gene ontology information. Subsequently, we utilize graph regularized nonnegative matrix factorization framework to predict potential interactions for all lncRNA simultaneously. In the cross validation test, LPGNMF achieves an AUC of 85.2 percent, higher than those of other compared methods. In addition, novel lncRNA-protein interactions detected by LPGNMF are validated by literatures or database. The results indicate that our method is effective to discover potential lncRNA-protein interaction." @default.
- W2887058963 created "2018-08-22" @default.
- W2887058963 creator A5006085047 @default.
- W2887058963 creator A5026475770 @default.
- W2887058963 creator A5036647389 @default.
- W2887058963 creator A5073806117 @default.
- W2887058963 date "2020-01-01" @default.
- W2887058963 modified "2023-10-10" @default.
- W2887058963 title "LPGNMF: Predicting Long Non-Coding RNA and Protein Interaction Using Graph Regularized Nonnegative Matrix Factorization" @default.
- W2887058963 cites W1582216728 @default.
- W2887058963 cites W1731645091 @default.
- W2887058963 cites W1902027874 @default.
- W2887058963 cites W1966716922 @default.
- W2887058963 cites W1970741980 @default.
- W2887058963 cites W1987592711 @default.
- W2887058963 cites W2025150647 @default.
- W2887058963 cites W2038122249 @default.
- W2887058963 cites W2039816251 @default.
- W2887058963 cites W2042301222 @default.
- W2887058963 cites W2058659458 @default.
- W2887058963 cites W2069139855 @default.
- W2887058963 cites W2071271349 @default.
- W2887058963 cites W2072394638 @default.
- W2887058963 cites W2079181115 @default.
- W2887058963 cites W2089652064 @default.
- W2887058963 cites W2105884433 @default.
- W2887058963 cites W2108119513 @default.
- W2887058963 cites W2117977572 @default.
- W2887058963 cites W2119220491 @default.
- W2887058963 cites W2119523409 @default.
- W2887058963 cites W2126504590 @default.
- W2887058963 cites W2144359569 @default.
- W2887058963 cites W2146447390 @default.
- W2887058963 cites W2148542126 @default.
- W2887058963 cites W2153636826 @default.
- W2887058963 cites W2165685007 @default.
- W2887058963 cites W2174181728 @default.
- W2887058963 cites W2237846683 @default.
- W2887058963 cites W2256799280 @default.
- W2887058963 cites W2278138779 @default.
- W2887058963 cites W2315682511 @default.
- W2887058963 cites W2336850185 @default.
- W2887058963 cites W2343107734 @default.
- W2887058963 cites W2344774066 @default.
- W2887058963 cites W2516934006 @default.
- W2887058963 cites W2521659061 @default.
- W2887058963 cites W2525068948 @default.
- W2887058963 cites W2538445534 @default.
- W2887058963 cites W2579238450 @default.
- W2887058963 cites W2599859080 @default.
- W2887058963 cites W2608749340 @default.
- W2887058963 cites W2611747160 @default.
- W2887058963 cites W2614461365 @default.
- W2887058963 cites W2621311075 @default.
- W2887058963 cites W2626127376 @default.
- W2887058963 cites W2732113356 @default.
- W2887058963 cites W2752850911 @default.
- W2887058963 cites W2762224301 @default.
- W2887058963 cites W2766356771 @default.
- W2887058963 cites W2774453250 @default.
- W2887058963 cites W2775791231 @default.
- W2887058963 cites W4379509748 @default.
- W2887058963 doi "https://doi.org/10.1109/tcbb.2018.2861009" @default.
- W2887058963 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30059315" @default.
- W2887058963 hasPublicationYear "2020" @default.
- W2887058963 type Work @default.
- W2887058963 sameAs 2887058963 @default.
- W2887058963 citedByCount "28" @default.
- W2887058963 countsByYear W28870589632019 @default.
- W2887058963 countsByYear W28870589632020 @default.
- W2887058963 countsByYear W28870589632021 @default.
- W2887058963 countsByYear W28870589632022 @default.
- W2887058963 countsByYear W28870589632023 @default.
- W2887058963 crossrefType "journal-article" @default.
- W2887058963 hasAuthorship W2887058963A5006085047 @default.
- W2887058963 hasAuthorship W2887058963A5026475770 @default.
- W2887058963 hasAuthorship W2887058963A5036647389 @default.
- W2887058963 hasAuthorship W2887058963A5073806117 @default.
- W2887058963 hasConcept C103278499 @default.
- W2887058963 hasConcept C104317684 @default.
- W2887058963 hasConcept C105795698 @default.
- W2887058963 hasConcept C11413529 @default.
- W2887058963 hasConcept C115961682 @default.
- W2887058963 hasConcept C11804247 @default.
- W2887058963 hasConcept C121332964 @default.
- W2887058963 hasConcept C124101348 @default.
- W2887058963 hasConcept C132525143 @default.
- W2887058963 hasConcept C150194340 @default.
- W2887058963 hasConcept C154945302 @default.
- W2887058963 hasConcept C158693339 @default.
- W2887058963 hasConcept C179518139 @default.
- W2887058963 hasConcept C187834632 @default.
- W2887058963 hasConcept C2987395477 @default.
- W2887058963 hasConcept C33923547 @default.
- W2887058963 hasConcept C41008148 @default.
- W2887058963 hasConcept C42355184 @default.
- W2887058963 hasConcept C54355233 @default.
- W2887058963 hasConcept C62520636 @default.