BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1088 related articles for article (PubMed ID: 29897414)

  • 1. CONICS integrates scRNA-seq with DNA sequencing to map gene expression to tumor sub-clones.
    Müller S; Cho A; Liu SJ; Lim DA; Diaz A
    Bioinformatics; 2018 Sep; 34(18):3217-3219. PubMed ID: 29897414
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledge.
    Mukherjee S; Zhang Y; Fan J; Seelig G; Kannan S
    Bioinformatics; 2018 Jul; 34(13):i124-i132. PubMed ID: 29949988
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Cell-level somatic mutation detection from single-cell RNA sequencing.
    Vu TN; Nguyen HN; Calza S; Kalari KR; Wang L; Pawitan Y
    Bioinformatics; 2019 Nov; 35(22):4679-4687. PubMed ID: 31028395
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A component overlapping attribute clustering (COAC) algorithm for single-cell RNA sequencing data analysis and potential pathobiological implications.
    Peng H; Zeng X; Zhou Y; Zhang D; Nussinov R; Cheng F
    PLoS Comput Biol; 2019 Feb; 15(2):e1006772. PubMed ID: 30779739
    [TBL] [Abstract][Full Text] [Related]  

  • 6. BASIC: BCR assembly from single cells.
    Canzar S; Neu KE; Tang Q; Wilson PC; Khan AA
    Bioinformatics; 2017 Feb; 33(3):425-427. PubMed ID: 28172415
    [TBL] [Abstract][Full Text] [Related]  

  • 7. scBGEDA: deep single-cell clustering analysis via a dual denoising autoencoder with bipartite graph ensemble clustering.
    Wang Y; Yu Z; Li S; Bian C; Liang Y; Wong KC; Li X
    Bioinformatics; 2023 Feb; 39(2):. PubMed ID: 36734596
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Learning deep features and topological structure of cells for clustering of scRNA-sequencing data.
    Wang H; Ma X
    Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35302164
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Falco: a quick and flexible single-cell RNA-seq processing framework on the cloud.
    Yang A; Troup M; Lin P; Ho JW
    Bioinformatics; 2017 Mar; 33(5):767-769. PubMed ID: 28025200
    [TBL] [Abstract][Full Text] [Related]  

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

  • 12. scHinter: imputing dropout events for single-cell RNA-seq data with limited sample size.
    Ye P; Ye W; Ye C; Li S; Ye L; Ji G; Wu X
    Bioinformatics; 2020 Feb; 36(3):789-797. PubMed ID: 31392316
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Spectral clustering based on learning similarity matrix.
    Park S; Zhao H
    Bioinformatics; 2018 Jun; 34(12):2069-2076. PubMed ID: 29432517
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A statistical simulator scDesign for rational scRNA-seq experimental design.
    Li WV; Li JJ
    Bioinformatics; 2019 Jul; 35(14):i41-i50. PubMed ID: 31510652
    [TBL] [Abstract][Full Text] [Related]  

  • 15. FlowGrid enables fast clustering of very large single-cell RNA-seq data.
    Fang X; Ho JWK
    Bioinformatics; 2021 Dec; 38(1):282-283. PubMed ID: 34289014
    [TBL] [Abstract][Full Text] [Related]  

  • 16. scDoc: correcting drop-out events in single-cell RNA-seq data.
    Ran D; Zhang S; Lytal N; An L
    Bioinformatics; 2020 Aug; 36(15):4233-4239. PubMed ID: 32365169
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. 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]  

  • 19. scGCL: an imputation method for scRNA-seq data based on graph contrastive learning.
    Xiong Z; Luo J; Shi W; Liu Y; Xu Z; Wang B
    Bioinformatics; 2023 Mar; 39(3):. PubMed ID: 36825817
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 55.