BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

386 related articles for article (PubMed ID: 29202807)

  • 1. Granatum: a graphical single-cell RNA-Seq analysis pipeline for genomics scientists.
    Zhu X; Wolfgruber TK; Tasato A; Arisdakessian C; Garmire DG; Garmire LX
    Genome Med; 2017 Dec; 9(1):108. PubMed ID: 29202807
    [TBL] [Abstract][Full Text] [Related]  

  • 2. GranatumX: A Community-engaging, Modularized, and Flexible Webtool for Single-cell Data Analysis.
    Garmire DG; Zhu X; Mantravadi A; Huang Q; Yunits B; Liu Y; Wolfgruber T; Poirion O; Zhao T; Arisdakessian C; Stanojevic S; Garmire LX
    Genomics Proteomics Bioinformatics; 2021 Jun; 19(3):452-460. PubMed ID: 34973417
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. ascend: R package for analysis of single-cell RNA-seq data.
    Senabouth A; Lukowski SW; Hernandez JA; Andersen SB; Mei X; Nguyen QH; Powell JE
    Gigascience; 2019 Aug; 8(8):. PubMed ID: 31505654
    [TBL] [Abstract][Full Text] [Related]  

  • 5. scRNA-seq data analysis method to improve analysis performance.
    Lu J; Sheng Y; Qian W; Pan M; Zhao X; Ge Q
    IET Nanobiotechnol; 2023 May; 17(3):246-256. PubMed ID: 36727937
    [TBL] [Abstract][Full Text] [Related]  

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

  • 7. WASP: a versatile, web-accessible single cell RNA-Seq processing platform.
    Hoek A; Maibach K; Özmen E; Vazquez-Armendariz AI; Mengel JP; Hain T; Herold S; Goesmann A
    BMC Genomics; 2021 Mar; 22(1):195. PubMed ID: 33736596
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. JingleBells: A Repository of Immune-Related Single-Cell RNA-Sequencing Datasets.
    Ner-Gaon H; Melchior A; Golan N; Ben-Haim Y; Shay T
    J Immunol; 2017 May; 198(9):3375-3379. PubMed ID: 28416714
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An accessible, interactive GenePattern Notebook for analysis and exploration of single-cell transcriptomic data.
    Mah CK; Wenzel AT; Juarez EF; Tabor T; Reich MM; Mesirov JP
    F1000Res; 2018; 7():1306. PubMed ID: 31316748
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Single-Cell RNA Sequencing Analysis: A Step-by-Step Overview.
    Slovin S; Carissimo A; Panariello F; Grimaldi A; Bouché V; Gambardella G; Cacchiarelli D
    Methods Mol Biol; 2021; 2284():343-365. PubMed ID: 33835452
    [TBL] [Abstract][Full Text] [Related]  

  • 12. CIDR: Ultrafast and accurate clustering through imputation for single-cell RNA-seq data.
    Lin P; Troup M; Ho JW
    Genome Biol; 2017 Mar; 18(1):59. PubMed ID: 28351406
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Random forest based similarity learning for single cell RNA sequencing data.
    Pouyan MB; Kostka D
    Bioinformatics; 2018 Jul; 34(13):i79-i88. PubMed ID: 29950006
    [TBL] [Abstract][Full Text] [Related]  

  • 14. scViewer: An Interactive Single-Cell Gene Expression Visualization Tool.
    Patil AR; Kumar G; Zhou H; Warren L
    Cells; 2023 May; 12(11):. PubMed ID: 37296611
    [TBL] [Abstract][Full Text] [Related]  

  • 15. ASAP: a web-based platform for the analysis and interactive visualization of single-cell RNA-seq data.
    Gardeux V; David FPA; Shajkofci A; Schwalie PC; Deplancke B
    Bioinformatics; 2017 Oct; 33(19):3123-3125. PubMed ID: 28541377
    [TBL] [Abstract][Full Text] [Related]  

  • 16. DIMM-SC: a Dirichlet mixture model for clustering droplet-based single cell transcriptomic data.
    Sun Z; Wang T; Deng K; Wang XF; Lafyatis R; Ding Y; Hu M; Chen W
    Bioinformatics; 2018 Jan; 34(1):139-146. PubMed ID: 29036318
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A multi-center cross-platform single-cell RNA sequencing reference dataset.
    Chen X; Yang Z; Chen W; Zhao Y; Farmer A; Tran B; Furtak V; Moos M; Xiao W; Wang C
    Sci Data; 2021 Feb; 8(1):39. PubMed ID: 33531477
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Detection of high variability in gene expression from single-cell RNA-seq profiling.
    Chen HI; Jin Y; Huang Y; Chen Y
    BMC Genomics; 2016 Aug; 17 Suppl 7(Suppl 7):508. PubMed ID: 27556924
    [TBL] [Abstract][Full Text] [Related]  

  • 19. scGGAN: single-cell RNA-seq imputation by graph-based generative adversarial network.
    Huang Z; Wang J; Lu X; Mohd Zain A; Yu G
    Brief Bioinform; 2023 Mar; 24(2):. PubMed ID: 36733262
    [TBL] [Abstract][Full Text] [Related]  

  • 20. SC1: A Tool for Interactive Web-Based Single-Cell RNA-Seq Data Analysis.
    Moussa M; Măndoiu II
    J Comput Biol; 2021 Aug; 28(8):820-841. PubMed ID: 34115950
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 20.