FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4317612474> ?p ?o ?g. }

• W4317612474 abstract "Abstract Elucidating underlying biological processes in single-cell data is an ongoing challenge and the number of methods that recapitulate dominant signals in such data has increased significantly. However, cellular populations encode multiple biological attributes, related to their spatial configuration, temporal trajectories, cell-cell interactions, and responses to environmental cues, which may be overshadowed by the dominant signal and thus much harder to recover. To approach this task, we developed SiFT (SIgnal FilTering), a method for filtering biological signals in single-cell data, thus uncovering underlying processes of interest. Utilizing existing prior knowledge and reconstruction tools for a specific biological signal, such as spatial structure, SiFT filters the signal and uncovers additional biological attributes. SiFT is applicable to a wide range of tasks, from the removal of unwanted variation in the data as a pre-processing step to revealing hidden biological structures. Applied for pre-processing, SiFT outperforms state-of-the-art methods for the removal of nuisance signals and cell cycle effects. To recover underlying biological structure, we use existing prior knowledge regarding liver zonation to filter the spatial signal from single-cell liver data thereby enhancing the temporal circadian signal the cells are encoding. Lastly, we showcase the applicability of SiFT in the case-control setting for studying COVID-19 disease. Filtering the healthy signal , based on reference samples from healthy donors, exposes disease-related dynamics in COVID-19 data and highlights disease informative cells and their underlying disease response pathways." @default.
• W4317612474 created "2023-01-21" @default.
• W4317612474 creator A5067199884 @default.
• W4317612474 creator A5091476581 @default.
• W4317612474 date "2023-01-20" @default.
• W4317612474 modified "2023-09-26" @default.
• W4317612474 title "Uncovering hidden biological processes by probabilistic filtering of single-cell data" @default.
• W4317612474 cites W2010653277 @default.
• W4317612474 cites W2069089843 @default.
• W4317612474 cites W2332292689 @default.
• W4317612474 cites W2585175142 @default.
• W4317612474 cites W2794480084 @default.
• W4317612474 cites W2800392236 @default.
• W4317612474 cites W2901677030 @default.
• W4317612474 cites W2902652978 @default.
• W4317612474 cites W2927507212 @default.
• W4317612474 cites W2932965638 @default.
• W4317612474 cites W2949237386 @default.
• W4317612474 cites W2963132013 @default.
• W4317612474 cites W2967177832 @default.
• W4317612474 cites W2984472267 @default.
• W4317612474 cites W2990145226 @default.
• W4317612474 cites W3011486364 @default.
• W4317612474 cites W3033148046 @default.
• W4317612474 cites W3033190604 @default.
• W4317612474 cites W3034168389 @default.
• W4317612474 cites W3042442225 @default.
• W4317612474 cites W3062499995 @default.
• W4317612474 cites W3088401235 @default.
• W4317612474 cites W3112105690 @default.
• W4317612474 cites W3119677722 @default.
• W4317612474 cites W3119858919 @default.
• W4317612474 cites W3139188931 @default.
• W4317612474 cites W3153732845 @default.
• W4317612474 cites W3190759848 @default.
• W4317612474 cites W3196650609 @default.
• W4317612474 cites W3197897067 @default.
• W4317612474 cites W3209238322 @default.
• W4317612474 cites W4210587306 @default.
• W4317612474 cites W4220836664 @default.
• W4317612474 cites W4221018009 @default.
• W4317612474 cites W4221095552 @default.
• W4317612474 cites W4225598893 @default.
• W4317612474 cites W4280533477 @default.
• W4317612474 cites W4281768937 @default.
• W4317612474 doi "https://doi.org/10.1101/2023.01.18.524512" @default.
• W4317612474 hasPublicationYear "2023" @default.
• W4317612474 type Work @default.
• W4317612474 citedByCount "0" @default.
• W4317612474 crossrefType "posted-content" @default.
• W4317612474 hasAuthorship W4317612474A5067199884 @default.
• W4317612474 hasAuthorship W4317612474A5091476581 @default.
• W4317612474 hasBestOaLocation W43176124741 @default.
• W4317612474 hasConcept C104267543 @default.
• W4317612474 hasConcept C106131492 @default.
• W4317612474 hasConcept C153180895 @default.
• W4317612474 hasConcept C154945302 @default.
• W4317612474 hasConcept C199360897 @default.
• W4317612474 hasConcept C201797286 @default.
• W4317612474 hasConcept C2779843651 @default.
• W4317612474 hasConcept C31972630 @default.
• W4317612474 hasConcept C41008148 @default.
• W4317612474 hasConcept C49937458 @default.
• W4317612474 hasConcept C52622490 @default.
• W4317612474 hasConcept C60644358 @default.
• W4317612474 hasConcept C61265191 @default.
• W4317612474 hasConcept C84462506 @default.
• W4317612474 hasConcept C86803240 @default.
• W4317612474 hasConcept C9390403 @default.
• W4317612474 hasConceptScore W4317612474C104267543 @default.
• W4317612474 hasConceptScore W4317612474C106131492 @default.
• W4317612474 hasConceptScore W4317612474C153180895 @default.
• W4317612474 hasConceptScore W4317612474C154945302 @default.
• W4317612474 hasConceptScore W4317612474C199360897 @default.
• W4317612474 hasConceptScore W4317612474C201797286 @default.
• W4317612474 hasConceptScore W4317612474C2779843651 @default.
• W4317612474 hasConceptScore W4317612474C31972630 @default.
• W4317612474 hasConceptScore W4317612474C41008148 @default.
• W4317612474 hasConceptScore W4317612474C49937458 @default.
• W4317612474 hasConceptScore W4317612474C52622490 @default.
• W4317612474 hasConceptScore W4317612474C60644358 @default.
• W4317612474 hasConceptScore W4317612474C61265191 @default.
• W4317612474 hasConceptScore W4317612474C84462506 @default.
• W4317612474 hasConceptScore W4317612474C86803240 @default.
• W4317612474 hasConceptScore W4317612474C9390403 @default.
• W4317612474 hasLocation W43176124741 @default.
• W4317612474 hasOpenAccess W4317612474 @default.
• W4317612474 hasPrimaryLocation W43176124741 @default.
• W4317612474 hasRelatedWork W2069595590 @default.
• W4317612474 hasRelatedWork W2076289882 @default.
• W4317612474 hasRelatedWork W2083751184 @default.
• W4317612474 hasRelatedWork W2129524734 @default.
• W4317612474 hasRelatedWork W2152925059 @default.
• W4317612474 hasRelatedWork W2168562287 @default.
• W4317612474 hasRelatedWork W2390096750 @default.
• W4317612474 hasRelatedWork W2417355477 @default.
• W4317612474 hasRelatedWork W4244083225 @default.
• W4317612474 hasRelatedWork W4281928084 @default.
• W4317612474 isParatext "false" @default.
• W4317612474 isRetracted "false" @default.

• next