116 related articles for article (PubMed ID: 38759908)
1. Assessing parameter efficient methods for pre-trained language model in annotating scRNA-seq data.
Xia Y; Liu Y; Li T; He S; Chang H; Wang Y; Zhang Y; Ge W
Methods; 2024 Aug; 228():12-21. PubMed ID: 38759908
[TBL] [Abstract][Full Text] [Related]
2. Continually adapting pre-trained language model to universal annotation of single-cell RNA-seq data.
Wan H; Yuan M; Fu Y; Deng M
Brief Bioinform; 2024 Jan; 25(2):. PubMed ID: 38388681
[TBL] [Abstract][Full Text] [Related]
3. Identifying gene expression programs in single-cell RNA-seq data using linear correlation explanation.
Nussbaum YI; Hossain KSMT; Kaifi J; Warren WC; Shyu CR; Mitchem JB
J Biomed Inform; 2024 Jun; 154():104644. PubMed ID: 38631462
[TBL] [Abstract][Full Text] [Related]
4. TripletCell: a deep metric learning framework for accurate annotation of cell types at the single-cell level.
Liu Y; Wei G; Li C; Shen LC; Gasser RB; Song J; Chen D; Yu DJ
Brief Bioinform; 2023 May; 24(3):. PubMed ID: 37080771
[TBL] [Abstract][Full Text] [Related]
5. Single-Cell RNA Sequencing for Studying Human Cancers.
Aran D
Annu Rev Biomed Data Sci; 2023 Aug; 6():1-22. PubMed ID: 37040737
[TBL] [Abstract][Full Text] [Related]
6. A Comprehensive Survey of Statistical Approaches for Differential Expression Analysis in Single-Cell RNA Sequencing Studies.
Das S; Rai A; Merchant ML; Cave MC; Rai SN
Genes (Basel); 2021 Dec; 12(12):. PubMed ID: 34946896
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. CIForm as a Transformer-based model for cell-type annotation of large-scale single-cell RNA-seq data.
Xu J; Zhang A; Liu F; Chen L; Zhang X
Brief Bioinform; 2023 Jul; 24(4):. PubMed ID: 37200157
[TBL] [Abstract][Full Text] [Related]
9. Shaoxia: a web-based interactive analysis platform for single cell RNA sequencing data.
Wei W; Xia X; Li T; Chen Q; Feng X
BMC Genomics; 2024 Apr; 25(1):402. PubMed ID: 38658838
[TBL] [Abstract][Full Text] [Related]
10. Beyond benchmarking and towards predictive models of dataset-specific single-cell RNA-seq pipeline performance.
Fang C; Selega A; Campbell KR
Genome Biol; 2024 Jun; 25(1):159. PubMed ID: 38886757
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. scLENS: data-driven signal detection for unbiased scRNA-seq data analysis.
Kim H; Chang W; Chae SJ; Park JE; Seo M; Kim JK
Nat Commun; 2024 Apr; 15(1):3575. PubMed ID: 38678050
[TBL] [Abstract][Full Text] [Related]
13. A guide to single-cell RNA sequencing analysis using web-based tools for non-bioinformatician.
Yarlagadda S; Giorgio TD
FEBS J; 2024 Jun; 291(12):2545-2561. PubMed ID: 38148322
[TBL] [Abstract][Full Text] [Related]
14. A hybrid deep clustering approach for robust cell type profiling using single-cell RNA-seq data.
Srinivasan S; Leshchyk A; Johnson NT; Korkin D
RNA; 2020 Oct; 26(10):1303-1319. PubMed ID: 32532794
[TBL] [Abstract][Full Text] [Related]
15. scAnno: a deconvolution strategy-based automatic cell type annotation tool for single-cell RNA-sequencing data sets.
Liu H; Li H; Sharma A; Huang W; Pan D; Gu Y; Lin L; Sun X; Liu H
Brief Bioinform; 2023 May; 24(3):. PubMed ID: 37183449
[TBL] [Abstract][Full Text] [Related]
16. Single-cell RNA-seq clustering: datasets, models, and algorithms.
Peng L; Tian X; Tian G; Xu J; Huang X; Weng Y; Yang J; Zhou L
RNA Biol; 2020 Jun; 17(6):765-783. PubMed ID: 32116127
[TBL] [Abstract][Full Text] [Related]
17. scDMAE: A Generative Denoising Model Adopted Mask Strategy for scRNA-Seq Data Recovery.
Liu W; Pan Y; Teng Z; Xu J
IEEE J Biomed Health Inform; 2024 Jun; 28(6):3772-3780. PubMed ID: 38568766
[TBL] [Abstract][Full Text] [Related]
18. Tuning parameters of dimensionality reduction methods for single-cell RNA-seq analysis.
Raimundo F; Vallot C; Vert JP
Genome Biol; 2020 Aug; 21(1):212. PubMed ID: 32831127
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. 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]
[Next] [New Search]
