BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

596 related articles for article (PubMed ID: 31396939)

  • 1. Single-Cell Transcriptome Analysis of T Cells.
    Van Der Byl W; Rizzetto S; Samir J; Cai C; Eltahla AA; Luciani F
    Methods Mol Biol; 2019; 2048():155-205. PubMed ID: 31396939
    [TBL] [Abstract][Full Text] [Related]  

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

  • 3. FB5P-seq: FACS-Based 5-Prime End Single-Cell RNA-seq for Integrative Analysis of Transcriptome and Antigen Receptor Repertoire in B and T Cells.
    Attaf N; Cervera-Marzal I; Dong C; Gil L; Renand A; Spinelli L; Milpied P
    Front Immunol; 2020; 11():216. PubMed ID: 32194545
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. SINCERA: A Pipeline for Single-Cell RNA-Seq Profiling Analysis.
    Guo M; Wang H; Potter SS; Whitsett JA; Xu Y
    PLoS Comput Biol; 2015 Nov; 11(11):e1004575. PubMed ID: 26600239
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Single-Cell Capture, RNA-seq, and Transcriptome Analysis from the Neural Retina.
    Dharmat R; Kim S; Li Y; Chen R
    Methods Mol Biol; 2020; 2092():159-186. PubMed ID: 31786788
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Full-Length Single-Cell RNA-Sequencing with FLASH-seq.
    Hahaut V; Picelli S
    Methods Mol Biol; 2023; 2584():123-164. PubMed ID: 36495447
    [TBL] [Abstract][Full Text] [Related]  

  • 11. How to design a single-cell RNA-sequencing experiment: pitfalls, challenges and perspectives.
    Dal Molin A; Di Camillo B
    Brief Bioinform; 2019 Jul; 20(4):1384-1394. PubMed ID: 29394315
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multiplexed single-cell RNA-seq via transient barcoding for simultaneous expression profiling of various drug perturbations.
    Shin D; Lee W; Lee JH; Bang D
    Sci Adv; 2019 May; 5(5):eaav2249. PubMed ID: 31106268
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Droplet-based single cell RNAseq tools: a practical guide.
    Salomon R; Kaczorowski D; Valdes-Mora F; Nordon RE; Neild A; Farbehi N; Bartonicek N; Gallego-Ortega D
    Lab Chip; 2019 May; 19(10):1706-1727. PubMed ID: 30997473
    [TBL] [Abstract][Full Text] [Related]  

  • 14. MARS-seq2.0: an experimental and analytical pipeline for indexed sorting combined with single-cell RNA sequencing.
    Keren-Shaul H; Kenigsberg E; Jaitin DA; David E; Paul F; Tanay A; Amit I
    Nat Protoc; 2019 Jun; 14(6):1841-1862. PubMed ID: 31101904
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Single-Cell Transcriptomics of Immune Cells: Cell Isolation and cDNA Library Generation for scRNA-Seq.
    Arsenio J
    Methods Mol Biol; 2020; 2184():1-18. PubMed ID: 32808214
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. High Throughput Single Cell RNA Sequencing, Bioinformatics Analysis and Applications.
    Huang X; Liu S; Wu L; Jiang M; Hou Y
    Adv Exp Med Biol; 2018; 1068():33-43. PubMed ID: 29943294
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Single Cell Explorer, collaboration-driven tools to leverage large-scale single cell RNA-seq data.
    Feng D; Whitehurst CE; Shan D; Hill JD; Yue YG
    BMC Genomics; 2019 Aug; 20(1):676. PubMed ID: 31455220
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Bayesian mixture model for clustering droplet-based single-cell transcriptomic data from population studies.
    Sun Z; Chen L; Xin H; Jiang Y; Huang Q; Cillo AR; Tabib T; Kolls JK; Bruno TC; Lafyatis R; Vignali DAA; Chen K; Ding Y; Hu M; Chen W
    Nat Commun; 2019 Apr; 10(1):1649. PubMed ID: 30967541
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 30.