BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

148 related articles for article (PubMed ID: 34146085)

  • 1. Normalization by distributional resampling of high throughput single-cell RNA-sequencing data.
    Brown J; Ni Z; Mohanty C; Bacher R; Kendziorski C
    Bioinformatics; 2021 Nov; 37(22):4123-4128. PubMed ID: 34146085
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Imputing dropouts for single-cell RNA sequencing based on multi-objective optimization.
    Jin K; Li B; Yan H; Zhang XF
    Bioinformatics; 2022 Jun; 38(12):3222-3230. PubMed ID: 35485740
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Non-parametric modelling of temporal and spatial counts data from RNA-seq experiments.
    BinTayyash N; Georgaka S; John ST; Ahmed S; Boukouvalas A; Hensman J; Rattray M
    Bioinformatics; 2021 Nov; 37(21):3788-3795. PubMed ID: 34213536
    [TBL] [Abstract][Full Text] [Related]  

  • 4. scGate: marker-based purification of cell types from heterogeneous single-cell RNA-seq datasets.
    Andreatta M; Berenstein AJ; Carmona SJ
    Bioinformatics; 2022 Apr; 38(9):2642-2644. PubMed ID: 35258562
    [TBL] [Abstract][Full Text] [Related]  

  • 5. propeller: testing for differences in cell type proportions in single cell data.
    Phipson B; Sim CB; Porrello ER; Hewitt AW; Powell J; Oshlack A
    Bioinformatics; 2022 Oct; 38(20):4720-4726. PubMed ID: 36005887
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 2DImpute: imputation in single-cell RNA-seq data from correlations in two dimensions.
    Zhu K; Anastassiou D
    Bioinformatics; 2020 Jun; 36(11):3588-3589. PubMed ID: 32108864
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Vaeda computationally annotates doublets in single-cell RNA sequencing data.
    Schriever H; Kostka D
    Bioinformatics; 2023 Jan; 39(1):. PubMed ID: 36342203
    [TBL] [Abstract][Full Text] [Related]  

  • 8. flexiMAP: a regression-based method for discovering differential alternative polyadenylation events in standard RNA-seq data.
    Szkop KJ; Moss DS; Nobeli I
    Bioinformatics; 2021 Jun; 37(10):1461-1464. PubMed ID: 33051680
    [TBL] [Abstract][Full Text] [Related]  

  • 9. SECEDO: SNV-based subclone detection using ultra-low coverage single-cell DNA sequencing.
    Rozhoňová H; Danciu D; Stark S; Rätsch G; Kahles A; Lehmann KV
    Bioinformatics; 2022 Sep; 38(18):4293-4300. PubMed ID: 35900151
    [TBL] [Abstract][Full Text] [Related]  

  • 10. bayNorm: Bayesian gene expression recovery, imputation and normalization for single-cell RNA-sequencing data.
    Tang W; Bertaux F; Thomas P; Stefanelli C; Saint M; Marguerat S; Shahrezaei V
    Bioinformatics; 2020 Feb; 36(4):1174-1181. PubMed ID: 31584606
    [TBL] [Abstract][Full Text] [Related]  

  • 11. schex avoids overplotting for large single-cell RNA-sequencing datasets.
    Freytag S; Lister R
    Bioinformatics; 2020 Apr; 36(7):2291-2292. PubMed ID: 31794001
    [TBL] [Abstract][Full Text] [Related]  

  • 12. scKWARN: Kernel-weighted-average robust normalization for single-cell RNA-seq data.
    Hsu CY; Chang CJ; Liu Q; Shyr Y
    Bioinformatics; 2024 Feb; 40(2):. PubMed ID: 38237908
    [TBL] [Abstract][Full Text] [Related]  

  • 13. scRNABatchQC: multi-samples quality control for single cell RNA-seq data.
    Liu Q; Sheng Q; Ping J; Ramirez MA; Lau KS; Coffey RJ; Shyr Y
    Bioinformatics; 2019 Dec; 35(24):5306-5308. PubMed ID: 31373345
    [TBL] [Abstract][Full Text] [Related]  

  • 14. ACTIVA: realistic single-cell RNA-seq generation with automatic cell-type identification using introspective variational autoencoders.
    Heydari AA; Davalos OA; Zhao L; Hoyer KK; Sindi SS
    Bioinformatics; 2022 Apr; 38(8):2194-2201. PubMed ID: 35179571
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Smooth quantile normalization.
    Hicks SC; Okrah K; Paulson JN; Quackenbush J; Irizarry RA; Bravo HC
    Biostatistics; 2018 Apr; 19(2):185-198. PubMed ID: 29036413
    [TBL] [Abstract][Full Text] [Related]  

  • 16. POIBM: batch correction of heterogeneous RNA-seq datasets through latent sample matching.
    Holmström S; Hautaniemi S; Häkkinen A
    Bioinformatics; 2022 Apr; 38(9):2474-2480. PubMed ID: 35199138
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Simulation, power evaluation and sample size recommendation for single-cell RNA-seq.
    Su K; Wu Z; Wu H
    Bioinformatics; 2020 Dec; 36(19):4860-4868. PubMed ID: 32614380
    [TBL] [Abstract][Full Text] [Related]  

  • 18. HCMMCNVs: hierarchical clustering mixture model of copy number variants detection using whole exome sequencing technology.
    Song C; Su SC; Huo Z; Vural S; Galvin JE; Chang LC
    Bioinformatics; 2021 Sep; 37(18):3026-3028. PubMed ID: 33714997
    [TBL] [Abstract][Full Text] [Related]  

  • 19. scWMC: weighted matrix completion-based imputation of scRNA-seq data via prior subspace information.
    Su Y; Wang F; Zhang S; Liang Y; Wong KC; Li X
    Bioinformatics; 2022 Sep; 38(19):4537-4545. PubMed ID: 35984287
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Isoform-level quantification for single-cell RNA sequencing.
    Pan L; Dinh HQ; Pawitan Y; Vu TN
    Bioinformatics; 2022 Feb; 38(5):1287-1294. PubMed ID: 34864849
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.