146 related articles for article (PubMed ID: 35037023)
21. Evaluation of Cell Type Annotation R Packages on Single-cell RNA-seq Data.
Huang Q; Liu Y; Du Y; Garmire LX
Genomics Proteomics Bioinformatics; 2021 Apr; 19(2):267-281. PubMed ID: 33359678
[TBL] [Abstract][Full Text] [Related]
22. Deep structural clustering for single-cell RNA-seq data jointly through autoencoder and graph neural network.
Gan Y; Huang X; Zou G; Zhou S; Guan J
Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35172334
[TBL] [Abstract][Full Text] [Related]
23. Dimensionality Reduction of Single-Cell RNA Sequencing Data by Combining Entropy and Denoising AutoEncoder.
Zhu X; Li J; Lin Y; Zhao L; Wang J; Peng X
J Comput Biol; 2022 Oct; 29(10):1074-1084. PubMed ID: 35834604
[No Abstract] [Full Text] [Related]
24. FRMC: a fast and robust method for the imputation of scRNA-seq data.
Wu H; Wang X; Chu M; Xiang R; Zhou K
RNA Biol; 2021 Oct; 18(sup1):172-181. PubMed ID: 34459719
[TBL] [Abstract][Full Text] [Related]
25. CASCC: a co-expression-assisted single-cell RNA-seq data clustering method.
Cai L; Anastassiou D
Bioinformatics; 2024 May; 40(5):. PubMed ID: 38662553
[TBL] [Abstract][Full Text] [Related]
26. FSCAM: CAM-Based Feature Selection for Clustering scRNA-seq.
Wang Y; Gao J; Xuan C; Guan T; Wang Y; Zhou G; Ding T
Interdiscip Sci; 2022 Jun; 14(2):394-408. PubMed ID: 35028910
[TBL] [Abstract][Full Text] [Related]
27. 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]
28. Entropy subspace separation-based clustering for noise reduction (ENCORE) of scRNA-seq data.
Song J; Liu Y; Zhang X; Wu Q; Gao J; Wang W; Li J; Song Y; Yang C
Nucleic Acids Res; 2021 Feb; 49(3):e18. PubMed ID: 33305325
[TBL] [Abstract][Full Text] [Related]
29. Improvements Achieved by Multiple Imputation for Single-Cell RNA-Seq Data in Clustering Analysis and Differential Expression Analysis.
Zhu M; Lai Y
J Comput Biol; 2022 Jul; 29(7):634-649. PubMed ID: 35575729
[TBL] [Abstract][Full Text] [Related]
30. scSSA: A clustering method for single cell RNA-seq data based on semi-supervised autoencoder.
Zhao JP; Hou TS; Su Y; Zheng CH
Methods; 2022 Dec; 208():66-74. PubMed ID: 36377123
[TBL] [Abstract][Full Text] [Related]
31. scDFC: A deep fusion clustering method for single-cell RNA-seq data.
Hu D; Liang K; Zhou S; Tu W; Liu M; Liu X
Brief Bioinform; 2023 Jul; 24(4):. PubMed ID: 37280190
[TBL] [Abstract][Full Text] [Related]
32. The Poisson distribution model fits UMI-based single-cell RNA-sequencing data.
Pan Y; Landis JT; Moorad R; Wu D; Marron JS; Dittmer DP
BMC Bioinformatics; 2023 Jun; 24(1):256. PubMed ID: 37330471
[TBL] [Abstract][Full Text] [Related]
33. scFSNN: a feature selection method based on neural network for single-cell RNA-seq data.
Peng M; Lin B; Zhang J; Zhou Y; Lin B
BMC Genomics; 2024 Mar; 25(1):264. PubMed ID: 38459442
[TBL] [Abstract][Full Text] [Related]
34. The scINSIGHT Package for Integrating Single-Cell RNA-Seq Data from Different Biological Conditions.
Qian K; Fu S; Li H; Li WV
J Comput Biol; 2022 Nov; 29(11):1233-1236. PubMed ID: 35920848
[TBL] [Abstract][Full Text] [Related]
35. Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledge.
Mukherjee S; Zhang Y; Fan J; Seelig G; Kannan S
Bioinformatics; 2018 Jul; 34(13):i124-i132. PubMed ID: 29949988
[TBL] [Abstract][Full Text] [Related]
36. 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]
37. Critical downstream analysis steps for single-cell RNA sequencing data.
Zhang Z; Cui F; Lin C; Zhao L; Wang C; Zou Q
Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33822873
[TBL] [Abstract][Full Text] [Related]
38. One Cell At a Time (OCAT): a unified framework to integrate and analyze single-cell RNA-seq data.
Wang CX; Zhang L; Wang B
Genome Biol; 2022 Apr; 23(1):102. PubMed ID: 35443717
[TBL] [Abstract][Full Text] [Related]
39. Learning deep features and topological structure of cells for clustering of scRNA-sequencing data.
Wang H; Ma X
Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35302164
[TBL] [Abstract][Full Text] [Related]
40. scRMD: imputation for single cell RNA-seq data via robust matrix decomposition.
Chen C; Wu C; Wu L; Wang X; Deng M; Xi R
Bioinformatics; 2020 May; 36(10):3156-3161. PubMed ID: 32119079
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]