BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

382 related articles for article (PubMed ID: 26489834)

  • 1. Characterizing noise structure in single-cell RNA-seq distinguishes genuine from technical stochastic allelic expression.
    Kim JK; Kolodziejczyk AA; Ilicic T; Teichmann SA; Marioni JC
    Nat Commun; 2015 Oct; 6():8687. PubMed ID: 26489834
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Quality Control of Single-Cell RNA-seq.
    Jiang P
    Methods Mol Biol; 2019; 1935():1-9. PubMed ID: 30758816
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Analysis of Technical and Biological Variability in Single-Cell RNA Sequencing.
    Kim B; Lee E; Kim JK
    Methods Mol Biol; 2019; 1935():25-43. PubMed ID: 30758818
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Single-Cell Allele-Specific Gene Expression Analysis.
    Dong M; Jiang Y
    Methods Mol Biol; 2019; 1935():155-174. PubMed ID: 30758826
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Single-cell RNA-seq analysis of mouse preimplantation embryos by third-generation sequencing.
    Fan X; Tang D; Liao Y; Li P; Zhang Y; Wang M; Liang F; Wang X; Gao Y; Wen L; Wang D; Wang Y; Tang F
    PLoS Biol; 2020 Dec; 18(12):e3001017. PubMed ID: 33378329
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Stably expressed genes in single-cell RNA sequencing.
    Deeke JM; Gagnon-Bartsch JA
    J Bioinform Comput Biol; 2020 Feb; 18(1):2040004. PubMed ID: 32336251
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Accounting for technical noise in differential expression analysis of single-cell RNA sequencing data.
    Jia C; Hu Y; Kelly D; Kim J; Li M; Zhang NR
    Nucleic Acids Res; 2017 Nov; 45(19):10978-10988. PubMed ID: 29036714
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A flexible network-based imputing-and-fusing approach towards the identification of cell types from single-cell RNA-seq data.
    Qi Y; Guo Y; Jiao H; Shang X
    BMC Bioinformatics; 2020 Jun; 21(1):240. PubMed ID: 32527285
    [TBL] [Abstract][Full Text] [Related]  

  • 9. scNPF: an integrative framework assisted by network propagation and network fusion for preprocessing of single-cell RNA-seq data.
    Ye W; Ji G; Ye P; Long Y; Xiao X; Li S; Su Y; Wu X
    BMC Genomics; 2019 May; 20(1):347. PubMed ID: 31068142
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Fast interpolation-based t-SNE for improved visualization of single-cell RNA-seq data.
    Linderman GC; Rachh M; Hoskins JG; Steinerberger S; Kluger Y
    Nat Methods; 2019 Mar; 16(3):243-245. PubMed ID: 30742040
    [TBL] [Abstract][Full Text] [Related]  

  • 11. BEARscc determines robustness of single-cell clusters using simulated technical replicates.
    Severson DT; Owen RP; White MJ; Lu X; Schuster-Böckler B
    Nat Commun; 2018 Mar; 9(1):1187. PubMed ID: 29567991
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A multitask clustering approach for single-cell RNA-seq analysis in Recessive Dystrophic Epidermolysis Bullosa.
    Zhang H; Lee CAA; Li Z; Garbe JR; Eide CR; Petegrosso R; Kuang R; Tolar J
    PLoS Comput Biol; 2018 Apr; 14(4):e1006053. PubMed ID: 29630593
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Effective detection of variation in single-cell transcriptomes using MATQ-seq.
    Sheng K; Cao W; Niu Y; Deng Q; Zong C
    Nat Methods; 2017 Mar; 14(3):267-270. PubMed ID: 28092691
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Nuclear oligo hashing improves differential analysis of single-cell RNA-seq.
    Kim HJ; Booth G; Saunders L; Srivatsan S; McFaline-Figueroa JL; Trapnell C
    Nat Commun; 2022 May; 13(1):2666. PubMed ID: 35562344
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Linnorm: improved statistical analysis for single cell RNA-seq expression data.
    Yip SH; Wang P; Kocher JA; Sham PC; Wang J
    Nucleic Acids Res; 2017 Dec; 45(22):e179. PubMed ID: 28981748
    [TBL] [Abstract][Full Text] [Related]  

  • 16. SCALE: modeling allele-specific gene expression by single-cell RNA sequencing.
    Jiang Y; Zhang NR; Li M
    Genome Biol; 2017 Apr; 18(1):74. PubMed ID: 28446220
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Data Analysis in Single-Cell Transcriptome Sequencing.
    Gao S
    Methods Mol Biol; 2018; 1754():311-326. PubMed ID: 29536451
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Benchmarking imputation methods for network inference using a novel method of synthetic scRNA-seq data generation.
    Lasri A; Shahrezaei V; Sturrock M
    BMC Bioinformatics; 2022 Jun; 23(1):236. PubMed ID: 35715748
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Dissociation of microdissected mouse brain tissue for artifact free single-cell RNA sequencing.
    Liu L; Besson-Girard S; Ji H; Gehring K; Bulut B; Kaya T; Usifo F; Simons M; Gokce O
    STAR Protoc; 2021 Jun; 2(2):100590. PubMed ID: 34159323
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Network embedding-based representation learning for single cell RNA-seq data.
    Li X; Chen W; Chen Y; Zhang X; Gu J; Zhang MQ
    Nucleic Acids Res; 2017 Nov; 45(19):e166. PubMed ID: 28977434
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 20.