FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4312211532> ?p ?o ?g. }

• W4312211532 endingPage "105687" @default.
• W4312211532 startingPage "105687" @default.
• W4312211532 abstract "The chromatin loop plays a critical role in the study of gene expression and disease. Supervised learning-based algorithms to predict the chromatin loops require large priori information to satisfy the model construction, while the prediction sensitivity of unsupervised learning-based algorithms is still unsatisfactory. Therefore, we propose an unsupervised algorithm, Ecomap-loop. It takes advantage of extrusion complex-associated patterns, including CTCF, RAD21, and SMC enrichments, as well as the orientation distribution of CTCF motif of loops to build feature matrices; then the eigen decomposition model is employed to obtain the cell type-specific loops. We compare the performance of Ecomap-loop with the state-of-the-art unsupervised algorithm using Hi-C, ChIA-PET, expression quantitative trait locus (eQTL), and CRISPR interference (CRISPRi) screen data; the results show that Ecomap-loop achieves the best in four cell types. In addition, the functional analysis reveals the ability of Ecomap-loop to predict active functionality-related and cell type-specific loops." @default.
• W4312211532 created "2023-01-04" @default.
• W4312211532 creator A5009713909 @default.
• W4312211532 creator A5027999373 @default.
• W4312211532 creator A5052024256 @default.
• W4312211532 creator A5061657921 @default.
• W4312211532 creator A5077323433 @default.
• W4312211532 date "2022-12-01" @default.
• W4312211532 modified "2023-10-01" @default.
• W4312211532 title "Integrating extrusion complex-associated pattern to predict cell type-specific long-range chromatin loops" @default.
• W4312211532 cites W1831401007 @default.
• W4312211532 cites W1859117663 @default.
• W4312211532 cites W1873772354 @default.
• W4312211532 cites W1964963969 @default.
• W4312211532 cites W1973062929 @default.
• W4312211532 cites W1981030303 @default.
• W4312211532 cites W1985621639 @default.
• W4312211532 cites W1991149014 @default.
• W4312211532 cites W2009576540 @default.
• W4312211532 cites W2010789111 @default.
• W4312211532 cites W2067245109 @default.
• W4312211532 cites W2073026107 @default.
• W4312211532 cites W2073504534 @default.
• W4312211532 cites W2076154138 @default.
• W4312211532 cites W2078059415 @default.
• W4312211532 cites W2088170764 @default.
• W4312211532 cites W2090037139 @default.
• W4312211532 cites W2102619694 @default.
• W4312211532 cites W2110614590 @default.
• W4312211532 cites W2117792884 @default.
• W4312211532 cites W2120785595 @default.
• W4312211532 cites W2140952049 @default.
• W4312211532 cites W2150090219 @default.
• W4312211532 cites W2168909179 @default.
• W4312211532 cites W2195190137 @default.
• W4312211532 cites W2259938310 @default.
• W4312211532 cites W2303393194 @default.
• W4312211532 cites W2305116528 @default.
• W4312211532 cites W2311269619 @default.
• W4312211532 cites W2333286569 @default.
• W4312211532 cites W2341539131 @default.
• W4312211532 cites W2341987872 @default.
• W4312211532 cites W2463708289 @default.
• W4312211532 cites W2481029670 @default.
• W4312211532 cites W2523285811 @default.
• W4312211532 cites W2524507363 @default.
• W4312211532 cites W2556041461 @default.
• W4312211532 cites W2604130415 @default.
• W4312211532 cites W2752211734 @default.
• W4312211532 cites W2756900458 @default.
• W4312211532 cites W2801568996 @default.
• W4312211532 cites W2928665623 @default.
• W4312211532 cites W2951184828 @default.
• W4312211532 cites W2951856336 @default.
• W4312211532 cites W2952664869 @default.
• W4312211532 cites W2952947531 @default.
• W4312211532 cites W2989837622 @default.
• W4312211532 cites W2993022331 @default.
• W4312211532 cites W3103000856 @default.
• W4312211532 cites W3111061871 @default.
• W4312211532 cites W3124946892 @default.
• W4312211532 cites W3194392874 @default.
• W4312211532 cites W3215596355 @default.
• W4312211532 cites W4200539173 @default.
• W4312211532 cites W4225279860 @default.
• W4312211532 cites W4282933948 @default.
• W4312211532 doi "https://doi.org/10.1016/j.isci.2022.105687" @default.
• W4312211532 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36567710" @default.
• W4312211532 hasPublicationYear "2022" @default.
• W4312211532 type Work @default.
• W4312211532 citedByCount "2" @default.
• W4312211532 countsByYear W43122115322022 @default.
• W4312211532 countsByYear W43122115322023 @default.
• W4312211532 crossrefType "journal-article" @default.
• W4312211532 hasAuthorship W4312211532A5009713909 @default.
• W4312211532 hasAuthorship W4312211532A5027999373 @default.
• W4312211532 hasAuthorship W4312211532A5052024256 @default.
• W4312211532 hasAuthorship W4312211532A5061657921 @default.
• W4312211532 hasAuthorship W4312211532A5077323433 @default.
• W4312211532 hasBestOaLocation W43122115321 @default.
• W4312211532 hasConcept C104317684 @default.
• W4312211532 hasConcept C111936080 @default.
• W4312211532 hasConcept C150194340 @default.
• W4312211532 hasConcept C153180895 @default.
• W4312211532 hasConcept C154945302 @default.
• W4312211532 hasConcept C2778760011 @default.
• W4312211532 hasConcept C2779694297 @default.
• W4312211532 hasConcept C41008148 @default.
• W4312211532 hasConcept C54355233 @default.
• W4312211532 hasConcept C70721500 @default.
• W4312211532 hasConcept C83640560 @default.
• W4312211532 hasConcept C86803240 @default.
• W4312211532 hasConceptScore W4312211532C104317684 @default.
• W4312211532 hasConceptScore W4312211532C111936080 @default.
• W4312211532 hasConceptScore W4312211532C150194340 @default.
• W4312211532 hasConceptScore W4312211532C153180895 @default.
• W4312211532 hasConceptScore W4312211532C154945302 @default.
• W4312211532 hasConceptScore W4312211532C2778760011 @default.

• next