BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

170 related articles for article (PubMed ID: 37337297)

  • 1. The effect of background noise and its removal on the analysis of single-cell expression data.
    Janssen P; Kliesmete Z; Vieth B; Adiconis X; Simmons S; Marshall J; McCabe C; Heyn H; Levin JZ; Enard W; Hellmann I
    Genome Biol; 2023 Jun; 24(1):140. PubMed ID: 37337297
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Unsupervised removal of systematic background noise from droplet-based single-cell experiments using CellBender.
    Fleming SJ; Chaffin MD; Arduini A; Akkad AD; Banks E; Marioni JC; Philippakis AA; Ellinor PT; Babadi M
    Nat Methods; 2023 Sep; 20(9):1323-1335. PubMed ID: 37550580
    [TBL] [Abstract][Full Text] [Related]  

  • 3. scCDC: a computational method for gene-specific contamination detection and correction in single-cell and single-nucleus RNA-seq data.
    Wang W; Cen Y; Lu Z; Xu Y; Sun T; Xiao Y; Liu W; Li JJ; Wang C
    Genome Biol; 2024 May; 25(1):136. PubMed ID: 38783325
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Souporcell: robust clustering of single-cell RNA-seq data by genotype without reference genotypes.
    Heaton H; Talman AM; Knights A; Imaz M; Gaffney DJ; Durbin R; Hemberg M; Lawniczak MKN
    Nat Methods; 2020 Jun; 17(6):615-620. PubMed ID: 32366989
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. FastCAR: fast correction for ambient RNA to facilitate differential gene expression analysis in single-cell RNA-sequencing datasets.
    Berg M; Petoukhov I; van den Ende I; Meyer KB; Guryev V; Vonk JM; Carpaij O; Banchero M; Hendriks RW; van den Berge M; Nawijn MC
    BMC Genomics; 2023 Nov; 24(1):722. PubMed ID: 38030970
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Decontamination of ambient RNA in single-cell RNA-seq with DecontX.
    Yang S; Corbett SE; Koga Y; Wang Z; Johnson WE; Yajima M; Campbell JD
    Genome Biol; 2020 Mar; 21(1):57. PubMed ID: 32138770
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Comparison of scRNA-seq data analysis method combinations.
    Xu L; Xue T; Ding W; Shen L
    Brief Funct Genomics; 2022 Nov; 21(6):433-440. PubMed ID: 36124658
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Advantages of Single-Nucleus over Single-Cell RNA Sequencing of Adult Kidney: Rare Cell Types and Novel Cell States Revealed in Fibrosis.
    Wu H; Kirita Y; Donnelly EL; Humphreys BD
    J Am Soc Nephrol; 2019 Jan; 30(1):23-32. PubMed ID: 30510133
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Detection and removal of barcode swapping in single-cell RNA-seq data.
    Griffiths JA; Richard AC; Bach K; Lun ATL; Marioni JC
    Nat Commun; 2018 Jul; 9(1):2667. PubMed ID: 29991676
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. A deep matrix factorization based approach for single-cell RNA-seq data clustering.
    Liang Z; Zheng R; Chen S; Yan X; Li M
    Methods; 2022 Sep; 205():114-122. PubMed ID: 35777719
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Polar Gini Curve: A Technique to Discover Gene Expression Spatial Patterns from Single-cell RNA-seq Data.
    Nguyen TM; Jeevan JJ; Xu N; Chen JY
    Genomics Proteomics Bioinformatics; 2021 Jun; 19(3):493-503. PubMed ID: 34958962
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Variance-adjusted Mahalanobis (VAM): a fast and accurate method for cell-specific gene set scoring.
    Frost HR
    Nucleic Acids Res; 2020 Sep; 48(16):e94. PubMed ID: 32633778
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Model-based deep embedding for constrained clustering analysis of single cell RNA-seq data.
    Tian T; Zhang J; Lin X; Wei Z; Hakonarson H
    Nat Commun; 2021 Mar; 12(1):1873. PubMed ID: 33767149
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Comparative Analysis of Single-Cell RNA Sequencing Methods.
    Ziegenhain C; Vieth B; Parekh S; Reinius B; Guillaumet-Adkins A; Smets M; Leonhardt H; Heyn H; Hellmann I; Enard W
    Mol Cell; 2017 Feb; 65(4):631-643.e4. PubMed ID: 28212749
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A single-cell and single-nucleus RNA-Seq toolbox for fresh and frozen human tumors.
    Slyper M; Porter CBM; Ashenberg O; Waldman J; Drokhlyansky E; Wakiro I; Smillie C; Smith-Rosario G; Wu J; Dionne D; Vigneau S; Jané-Valbuena J; Tickle TL; Napolitano S; Su MJ; Patel AG; Karlstrom A; Gritsch S; Nomura M; Waghray A; Gohil SH; Tsankov AM; Jerby-Arnon L; Cohen O; Klughammer J; Rosen Y; Gould J; Nguyen L; Hofree M; Tramontozzi PJ; Li B; Wu CJ; Izar B; Haq R; Hodi FS; Yoon CH; Hata AN; Baker SJ; Suvà ML; Bueno R; Stover EH; Clay MR; Dyer MA; Collins NB; Matulonis UA; Wagle N; Johnson BE; Rotem A; Rozenblatt-Rosen O; Regev A
    Nat Med; 2020 May; 26(5):792-802. PubMed ID: 32405060
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 9.