139 related articles for article (PubMed ID: 38600256)
21. CellWalker integrates single-cell and bulk data to resolve regulatory elements across cell types in complex tissues.
Przytycki PF; Pollard KS
Genome Biol; 2021 Feb; 22(1):61. PubMed ID: 33583425
[TBL] [Abstract][Full Text] [Related]
22. scNCL: transferring labels from scRNA-seq to scATAC-seq data with neighborhood contrastive regularization.
Yan X; Zheng R; Chen J; Li M
Bioinformatics; 2023 Aug; 39(8):. PubMed ID: 37584660
[TBL] [Abstract][Full Text] [Related]
23. SCALE method for single-cell ATAC-seq analysis via latent feature extraction.
Xiong L; Xu K; Tian K; Shao Y; Tang L; Gao G; Zhang M; Jiang T; Zhang QC
Nat Commun; 2019 Oct; 10(1):4576. PubMed ID: 31594952
[TBL] [Abstract][Full Text] [Related]
24. Learning single-cell chromatin accessibility profiles using meta-analytic marker genes.
Kawaguchi RK; Tang Z; Fischer S; Rajesh C; Tripathy R; Koo PK; Gillis J
Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36549922
[TBL] [Abstract][Full Text] [Related]
25. Single-cell chromatin accessibility reveals principles of regulatory variation.
Buenrostro JD; Wu B; Litzenburger UM; Ruff D; Gonzales ML; Snyder MP; Chang HY; Greenleaf WJ
Nature; 2015 Jul; 523(7561):486-90. PubMed ID: 26083756
[TBL] [Abstract][Full Text] [Related]
26. Construction of single-cell cross-species chromatin accessibility landscapes with combinatorial-hybridization-based ATAC-seq.
Zhang G; Fu Y; Yang L; Ye F; Zhang P; Zhang S; Ma L; Li J; Wu H; Han X; Wang J; Guo G
Dev Cell; 2024 Mar; 59(6):793-811.e8. PubMed ID: 38330939
[TBL] [Abstract][Full Text] [Related]
27. GAGAM v1.2: An Improvement on Peak Labeling and Genomic Annotated Gene Activity Matrix Construction.
Martini L; Bardini R; Savino A; Di Carlo S
Genes (Basel); 2022 Dec; 14(1):. PubMed ID: 36672856
[TBL] [Abstract][Full Text] [Related]
28. Scalable and unbiased sequence-informed embedding of single-cell ATAC-seq data with CellSpace.
Tayyebi Z; Pine AR; Leslie CS
Nat Methods; 2024 Jun; 21(6):1014-1022. PubMed ID: 38724693
[TBL] [Abstract][Full Text] [Related]
29. Enhancement and Imputation of Peak Signal Enables Accurate Cell-Type Classification in scATAC-seq.
Cui Z; Cui Y; Gao Y; Jiang T; Zang T; Wang Y
Front Genet; 2021; 12():658352. PubMed ID: 33889181
[TBL] [Abstract][Full Text] [Related]
30. AtacAnnoR: a reference-based annotation tool for single cell ATAC-seq data.
Tian L; Xie Y; Xie Z; Tian J; Tian W
Brief Bioinform; 2023 Sep; 24(5):. PubMed ID: 37497729
[TBL] [Abstract][Full Text] [Related]
31. Quantification, Dynamic Visualization, and Validation of Bias in ATAC-Seq Data with ataqv.
Orchard P; Kyono Y; Hensley J; Kitzman JO; Parker SCJ
Cell Syst; 2020 Mar; 10(3):298-306.e4. PubMed ID: 32213349
[TBL] [Abstract][Full Text] [Related]
32. Developments in high-throughput functional epigenomics: CRISPR-single-cell assay for transposase-accessible chromatin using sequencing screens.
E Yan R; P Greenfield J; Dahmane N
Epigenomics; 2022 Jun; 14(11):645-649. PubMed ID: 35574596
[TBL] [Abstract][Full Text] [Related]
33. Evaluation of classification in single cell atac-seq data with machine learning methods.
Guo H; Yang Z; Jiang T; Liu S; Wang Y; Cui Z
BMC Bioinformatics; 2022 Sep; 23(Suppl 5):249. PubMed ID: 36131234
[TBL] [Abstract][Full Text] [Related]
34. A rapid and robust method for single cell chromatin accessibility profiling.
Chen X; Miragaia RJ; Natarajan KN; Teichmann SA
Nat Commun; 2018 Dec; 9(1):5345. PubMed ID: 30559361
[TBL] [Abstract][Full Text] [Related]
35. Epigenetic Application of ATAC-Seq Based on Tn5 Transposase Purification Technology.
Li W; Tim Wu U; Cheng Y; Huang Y; Mao L; Sun M; Qiu C; Zhou L; Gao L
Genet Res (Camb); 2022; 2022():8429207. PubMed ID: 36062065
[TBL] [Abstract][Full Text] [Related]
36. Integration of scATAC-Seq with scRNA-Seq Data.
Berest I; Tangherloni A
Methods Mol Biol; 2023; 2584():293-310. PubMed ID: 36495457
[TBL] [Abstract][Full Text] [Related]
37. Assessing Chromatin Accessibility During WBR in Acoels.
Gehrke AR; Srivastava M
Methods Mol Biol; 2022; 2450():549-561. PubMed ID: 35359328
[TBL] [Abstract][Full Text] [Related]
38. Analyzing the gene regulatory network in hepatitis B patients by single-cell ATAC sequencing.
Xu H; Yu H; Zheng F; Zhang C; Cai W; Zhang X; Tang D; Dai Y
Clin Rheumatol; 2022 Nov; 41(11):3513-3524. PubMed ID: 35902485
[TBL] [Abstract][Full Text] [Related]
39. Benchmarking algorithms for joint integration of unpaired and paired single-cell RNA-seq and ATAC-seq data.
Lee MYY; Kaestner KH; Li M
Genome Biol; 2023 Oct; 24(1):244. PubMed ID: 37875977
[TBL] [Abstract][Full Text] [Related]
40. Building gene regulatory networks from scATAC-seq and scRNA-seq using Linked Self Organizing Maps.
Jansen C; Ramirez RN; El-Ali NC; Gomez-Cabrero D; Tegner J; Merkenschlager M; Conesa A; Mortazavi A
PLoS Comput Biol; 2019 Nov; 15(11):e1006555. PubMed ID: 31682608
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
