Matches in SemOpenAlex for { <https://semopenalex.org/work/W3161309382> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W3161309382 abstract "ABSTRACT With the rapid development of single-cell ATAC-seq technology, it has become possible to profile the chromatin accessibility of massive individual cells. However, it remains challenging to characterize their regulatory heterogeneity due to the high-dimensional, sparse and near-binary nature of data. Most existing data representation methods were designed based on correlation, which may be ill-defined for sparse data. Moreover, these methods do not well address the issue of excessive zeros. Thus, a simple, fast and scalable approach is needed to analyze single-cell ATAC-seq data with massive cells, address the “missingness” and accurately categorize cell types. To this end, we developed a network diffusion method for scalable embedding of massive single-cell ATAC-seq data (named as scAND). Specifically, we considered the near-binary single-cell ATAC-seq data as a bipartite network that reflects the accessible relationship between cells and accessible regions, and further adopted a simple and scalable network diffusion method to embed it. scAND can take information from similar cells to alleviate the sparsity and improve cell type identification. Extensive tests and comparison with existing methods using synthetic and real data as benchmarks demonstrated its distinct superiorities in terms of clustering accuracy, robustness, scalability and data integration. Availability The Python-based scAND tool is freely available at http://page.amss.ac.cn/shihua.zhang/software.html." @default.
- W3161309382 created "2021-05-24" @default.
- W3161309382 creator A5076619069 @default.
- W3161309382 creator A5085824436 @default.
- W3161309382 date "2021-05-01" @default.
- W3161309382 modified "2023-09-24" @default.
- W3161309382 title "Network diffusion for scalable embedding of massive single-cell ATAC-seq data" @default.
- W3161309382 cites W1492083415 @default.
- W3161309382 cites W1986269759 @default.
- W3161309382 cites W2015280752 @default.
- W3161309382 cites W2166773843 @default.
- W3161309382 cites W2744443859 @default.
- W3161309382 cites W2750049634 @default.
- W3161309382 cites W2805829144 @default.
- W3161309382 cites W2887910040 @default.
- W3161309382 cites W2892648189 @default.
- W3161309382 cites W2934716754 @default.
- W3161309382 cites W2952582936 @default.
- W3161309382 cites W2979464975 @default.
- W3161309382 cites W2980897730 @default.
- W3161309382 cites W3026159398 @default.
- W3161309382 cites W3133082627 @default.
- W3161309382 doi "https://doi.org/10.1016/j.scib.2021.05.014" @default.
- W3161309382 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36654454" @default.
- W3161309382 hasPublicationYear "2021" @default.
- W3161309382 type Work @default.
- W3161309382 sameAs 3161309382 @default.
- W3161309382 citedByCount "6" @default.
- W3161309382 countsByYear W31613093822021 @default.
- W3161309382 countsByYear W31613093822022 @default.
- W3161309382 crossrefType "journal-article" @default.
- W3161309382 hasAuthorship W3161309382A5076619069 @default.
- W3161309382 hasAuthorship W3161309382A5085824436 @default.
- W3161309382 hasBestOaLocation W31613093822 @default.
- W3161309382 hasConcept C104317684 @default.
- W3161309382 hasConcept C107397762 @default.
- W3161309382 hasConcept C121332964 @default.
- W3161309382 hasConcept C124101348 @default.
- W3161309382 hasConcept C150194340 @default.
- W3161309382 hasConcept C154945302 @default.
- W3161309382 hasConcept C162317418 @default.
- W3161309382 hasConcept C185592680 @default.
- W3161309382 hasConcept C41008148 @default.
- W3161309382 hasConcept C41608201 @default.
- W3161309382 hasConcept C48044578 @default.
- W3161309382 hasConcept C55493867 @default.
- W3161309382 hasConcept C69357855 @default.
- W3161309382 hasConcept C75684735 @default.
- W3161309382 hasConcept C77088390 @default.
- W3161309382 hasConcept C97355855 @default.
- W3161309382 hasConceptScore W3161309382C104317684 @default.
- W3161309382 hasConceptScore W3161309382C107397762 @default.
- W3161309382 hasConceptScore W3161309382C121332964 @default.
- W3161309382 hasConceptScore W3161309382C124101348 @default.
- W3161309382 hasConceptScore W3161309382C150194340 @default.
- W3161309382 hasConceptScore W3161309382C154945302 @default.
- W3161309382 hasConceptScore W3161309382C162317418 @default.
- W3161309382 hasConceptScore W3161309382C185592680 @default.
- W3161309382 hasConceptScore W3161309382C41008148 @default.
- W3161309382 hasConceptScore W3161309382C41608201 @default.
- W3161309382 hasConceptScore W3161309382C48044578 @default.
- W3161309382 hasConceptScore W3161309382C55493867 @default.
- W3161309382 hasConceptScore W3161309382C69357855 @default.
- W3161309382 hasConceptScore W3161309382C75684735 @default.
- W3161309382 hasConceptScore W3161309382C77088390 @default.
- W3161309382 hasConceptScore W3161309382C97355855 @default.
- W3161309382 hasFunder F4320321540 @default.
- W3161309382 hasLocation W31613093821 @default.
- W3161309382 hasLocation W31613093822 @default.
- W3161309382 hasLocation W31613093823 @default.
- W3161309382 hasOpenAccess W3161309382 @default.
- W3161309382 hasPrimaryLocation W31613093821 @default.
- W3161309382 hasRelatedWork W1525643724 @default.
- W3161309382 hasRelatedWork W1527726406 @default.
- W3161309382 hasRelatedWork W1976363619 @default.
- W3161309382 hasRelatedWork W2302028273 @default.
- W3161309382 hasRelatedWork W2364921833 @default.
- W3161309382 hasRelatedWork W2368437561 @default.
- W3161309382 hasRelatedWork W2382623646 @default.
- W3161309382 hasRelatedWork W2388030554 @default.
- W3161309382 hasRelatedWork W3007075380 @default.
- W3161309382 hasRelatedWork W398950355 @default.
- W3161309382 isParatext "false" @default.
- W3161309382 isRetracted "false" @default.
- W3161309382 magId "3161309382" @default.
- W3161309382 workType "article" @default.