Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385604104> ?p ?o ?g. }
- W4385604104 abstract "Abstracts The landscape of 3D-genome is crucial for transcription regulation. But capturing the dynamics of chromatin conformation is costly and technically challenging. Here we described “Chrombus-XMBD”, a graph generative model capable of predicting chromatin interactions ab inito based on available chromatin features. Chrombus employes dynamic edge convolution with QKV attention setup, which maps the relevant chromatin features to a learnable embedding space thereby generate genomewide 3D-contactmap. We validated Chrombus predictions with published databases of topological associated domains (TAD), eQTLs and gene-enhancer interactions. Chrombus outperforms existing algorithms in efficiently predicting long-range chromatin interactions. Chrombus also exhibits strong generalizability across different cell lineage and species. Additionally, the parameter sets of Chrombus inform the biological processes underlying 3D-genome. Our model provides a new perspective towards interpretable AI-modeling of the dynamics of chromatin interactions and better understanding of cis -regulation of gene expression." @default.
- W4385604104 created "2023-08-05" @default.
- W4385604104 creator A5000276448 @default.
- W4385604104 creator A5012512888 @default.
- W4385604104 creator A5018441329 @default.
- W4385604104 creator A5041081010 @default.
- W4385604104 creator A5044939327 @default.
- W4385604104 creator A5046555997 @default.
- W4385604104 creator A5064125880 @default.
- W4385604104 creator A5075393358 @default.
- W4385604104 creator A5091553972 @default.
- W4385604104 date "2023-08-05" @default.
- W4385604104 modified "2023-09-22" @default.
- W4385604104 title "Chrombus-XMBD: A Graph Generative Model Predicting 3D-Genome,<i>ab initio</i>from Chromatin Features" @default.
- W4385604104 cites W1831401007 @default.
- W4385604104 cites W1924378360 @default.
- W4385604104 cites W1941076503 @default.
- W4385604104 cites W1973062929 @default.
- W4385604104 cites W2021779654 @default.
- W4385604104 cites W2140952049 @default.
- W4385604104 cites W2152791321 @default.
- W4385604104 cites W2163480486 @default.
- W4385604104 cites W2195190137 @default.
- W4385604104 cites W2401568148 @default.
- W4385604104 cites W2543542605 @default.
- W4385604104 cites W2555146308 @default.
- W4385604104 cites W2584394140 @default.
- W4385604104 cites W2606675097 @default.
- W4385604104 cites W2746873727 @default.
- W4385604104 cites W2756584474 @default.
- W4385604104 cites W2788376770 @default.
- W4385604104 cites W2894289085 @default.
- W4385604104 cites W2898577086 @default.
- W4385604104 cites W2904407571 @default.
- W4385604104 cites W2945038365 @default.
- W4385604104 cites W2945220048 @default.
- W4385604104 cites W2950595506 @default.
- W4385604104 cites W2952664869 @default.
- W4385604104 cites W2980997921 @default.
- W4385604104 cites W2992166152 @default.
- W4385604104 cites W2994834390 @default.
- W4385604104 cites W3013411594 @default.
- W4385604104 cites W3017323102 @default.
- W4385604104 cites W3045910546 @default.
- W4385604104 cites W3091921516 @default.
- W4385604104 cites W3092624702 @default.
- W4385604104 cites W3112172360 @default.
- W4385604104 cites W3124454906 @default.
- W4385604104 cites W3132963234 @default.
- W4385604104 cites W3133859624 @default.
- W4385604104 cites W3177828909 @default.
- W4385604104 cites W4200464473 @default.
- W4385604104 cites W4214831161 @default.
- W4385604104 cites W4223457850 @default.
- W4385604104 cites W4283643957 @default.
- W4385604104 cites W4283757144 @default.
- W4385604104 cites W4303449006 @default.
- W4385604104 cites W4308945870 @default.
- W4385604104 cites W4309506674 @default.
- W4385604104 cites W4321851522 @default.
- W4385604104 cites W4379535549 @default.
- W4385604104 cites W4380370418 @default.
- W4385604104 doi "https://doi.org/10.1101/2023.08.02.551072" @default.
- W4385604104 hasPublicationYear "2023" @default.
- W4385604104 type Work @default.
- W4385604104 citedByCount "0" @default.
- W4385604104 crossrefType "posted-content" @default.
- W4385604104 hasAuthorship W4385604104A5000276448 @default.
- W4385604104 hasAuthorship W4385604104A5012512888 @default.
- W4385604104 hasAuthorship W4385604104A5018441329 @default.
- W4385604104 hasAuthorship W4385604104A5041081010 @default.
- W4385604104 hasAuthorship W4385604104A5044939327 @default.
- W4385604104 hasAuthorship W4385604104A5046555997 @default.
- W4385604104 hasAuthorship W4385604104A5064125880 @default.
- W4385604104 hasAuthorship W4385604104A5075393358 @default.
- W4385604104 hasAuthorship W4385604104A5091553972 @default.
- W4385604104 hasBestOaLocation W43856041041 @default.
- W4385604104 hasConcept C104317684 @default.
- W4385604104 hasConcept C111936080 @default.
- W4385604104 hasConcept C132525143 @default.
- W4385604104 hasConcept C141231307 @default.
- W4385604104 hasConcept C41008148 @default.
- W4385604104 hasConcept C54355233 @default.
- W4385604104 hasConcept C67258246 @default.
- W4385604104 hasConcept C70721500 @default.
- W4385604104 hasConcept C80444323 @default.
- W4385604104 hasConcept C83640560 @default.
- W4385604104 hasConcept C84772758 @default.
- W4385604104 hasConcept C86339819 @default.
- W4385604104 hasConcept C86803240 @default.
- W4385604104 hasConcept C93946551 @default.
- W4385604104 hasConceptScore W4385604104C104317684 @default.
- W4385604104 hasConceptScore W4385604104C111936080 @default.
- W4385604104 hasConceptScore W4385604104C132525143 @default.
- W4385604104 hasConceptScore W4385604104C141231307 @default.
- W4385604104 hasConceptScore W4385604104C41008148 @default.
- W4385604104 hasConceptScore W4385604104C54355233 @default.
- W4385604104 hasConceptScore W4385604104C67258246 @default.
- W4385604104 hasConceptScore W4385604104C70721500 @default.
- W4385604104 hasConceptScore W4385604104C80444323 @default.