166 related articles for article (PubMed ID: 33520459)
41. SD2: spatially resolved transcriptomics deconvolution through integration of dropout and spatial information.
Li H; Li H; Zhou J; Gao X
Bioinformatics; 2022 Oct; 38(21):4878-4884. PubMed ID: 36063455
[TBL] [Abstract][Full Text] [Related]
42. SPANN: annotating single-cell resolution spatial transcriptome data with scRNA-seq data.
Yuan M; Wan H; Wang Z; Guo Q; Deng M
Brief Bioinform; 2024 Jan; 25(2):. PubMed ID: 38279647
[TBL] [Abstract][Full Text] [Related]
43. Autoencoder-based cluster ensembles for single-cell RNA-seq data analysis.
Geddes TA; Kim T; Nan L; Burchfield JG; Yang JYH; Tao D; Yang P
BMC Bioinformatics; 2019 Dec; 20(Suppl 19):660. PubMed ID: 31870278
[TBL] [Abstract][Full Text] [Related]
44. Joint learning dimension reduction and clustering of single-cell RNA-sequencing data.
Wu W; Ma X
Bioinformatics; 2020 Jun; 36(12):3825-3832. PubMed ID: 32246821
[TBL] [Abstract][Full Text] [Related]
45. A Personalized Low-Rank Subspace Clustering Method Based on Locality and Similarity Constraints for scRNA-seq Data Analysis.
Qiao TJ; Liu JX; Shang J; Yuan S; Zheng CH; Wang J
IEEE J Biomed Health Inform; 2023 May; 27(5):2575-2584. PubMed ID: 37027680
[TBL] [Abstract][Full Text] [Related]
46. scGAC: a graph attentional architecture for clustering single-cell RNA-seq data.
Cheng Y; Ma X
Bioinformatics; 2022 Apr; 38(8):2187-2193. PubMed ID: 35176138
[TBL] [Abstract][Full Text] [Related]
47. DIscBIO: A User-Friendly Pipeline for Biomarker Discovery in Single-Cell Transcriptomics.
Ghannoum S; Leoncio Netto W; Fantini D; Ragan-Kelley B; Parizadeh A; Jonasson E; Ståhlberg A; Farhan H; Köhn-Luque A
Int J Mol Sci; 2021 Jan; 22(3):. PubMed ID: 33573289
[TBL] [Abstract][Full Text] [Related]
48. CONICS integrates scRNA-seq with DNA sequencing to map gene expression to tumor sub-clones.
Müller S; Cho A; Liu SJ; Lim DA; Diaz A
Bioinformatics; 2018 Sep; 34(18):3217-3219. PubMed ID: 29897414
[TBL] [Abstract][Full Text] [Related]
49. Contrastive self-supervised clustering of scRNA-seq data.
Ciortan M; Defrance M
BMC Bioinformatics; 2021 May; 22(1):280. PubMed ID: 34044773
[TBL] [Abstract][Full Text] [Related]
50. Deep enhanced constraint clustering based on contrastive learning for scRNA-seq data.
Gan Y; Chen Y; Xu G; Guo W; Zou G
Brief Bioinform; 2023 Jul; 24(4):. PubMed ID: 37313714
[TBL] [Abstract][Full Text] [Related]
51. PredGCN: A Pruning-enabled Gene-Cell Net for Automatic Cell Annotation of Single Cell Transcriptome Data.
Qi Q; Wang Y; Huang Y; Fan Y; Li X
Bioinformatics; 2024 Jun; ():. PubMed ID: 38924517
[TBL] [Abstract][Full Text] [Related]
52. A rank-based marker selection method for high throughput scRNA-seq data.
Vargo AHS; Gilbert AC
BMC Bioinformatics; 2020 Oct; 21(1):477. PubMed ID: 33097004
[TBL] [Abstract][Full Text] [Related]
53. GE-Impute: graph embedding-based imputation for single-cell RNA-seq data.
Wu X; Zhou Y
Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 35901457
[TBL] [Abstract][Full Text] [Related]
54. scNAME: neighborhood contrastive clustering with ancillary mask estimation for scRNA-seq data.
Wan H; Chen L; Deng M
Bioinformatics; 2022 Mar; 38(6):1575-1583. PubMed ID: 34999761
[TBL] [Abstract][Full Text] [Related]
55. scMatch: a single-cell gene expression profile annotation tool using reference datasets.
Hou R; Denisenko E; Forrest ARR
Bioinformatics; 2019 Nov; 35(22):4688-4695. PubMed ID: 31028376
[TBL] [Abstract][Full Text] [Related]
56. Independent component analysis based gene co-expression network inference (ICAnet) to decipher functional modules for better single-cell clustering and batch integration.
Wang W; Tan H; Sun M; Han Y; Chen W; Qiu S; Zheng K; Wei G; Ni T
Nucleic Acids Res; 2021 May; 49(9):e54. PubMed ID: 33619563
[TBL] [Abstract][Full Text] [Related]
57. LRT: Integrative analysis of scRNA-seq and scTCR-seq data to investigate clonal differentiation heterogeneity.
Xie J; Jeon H; Xin G; Ma Q; Chung D
PLoS Comput Biol; 2023 Jul; 19(7):e1011300. PubMed ID: 37428794
[TBL] [Abstract][Full Text] [Related]
58. Propensity score matching enables batch-effect-corrected imputation in single-cell RNA-seq analysis.
Xu X; Yu X; Hu G; Wang K; Zhang J; Li X
Brief Bioinform; 2022 Jul; 23(4):. PubMed ID: 35821114
[TBL] [Abstract][Full Text] [Related]
59. ILoReg: a tool for high-resolution cell population identification from single-cell RNA-seq data.
Smolander J; Junttila S; Venäläinen MS; Elo LL
Bioinformatics; 2021 May; 37(8):1107-1114. PubMed ID: 33151294
[TBL] [Abstract][Full Text] [Related]
60. JOINT for large-scale single-cell RNA-sequencing analysis via soft-clustering and parallel computing.
Cui T; Wang T
BMC Genomics; 2021 Jan; 22(1):47. PubMed ID: 33430769
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
