BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

442 related articles for article (PubMed ID: 31960377)

  • 1. Visualization of Single Cell RNA-Seq Data Using t-SNE in R.
    Zhou B; Jin W
    Methods Mol Biol; 2020; 2117():159-167. PubMed ID: 31960377
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Preprocessing of Single Cell RNA Sequencing Data Using Correlated Clustering and Projection.
    Hozumi Y; Tanemura KA; Wei GW
    J Chem Inf Model; 2024 Apr; 64(7):2829-2838. PubMed ID: 37402705
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. K-nearest-neighbors induced topological PCA for single cell RNA-sequence data analysis.
    Cottrell S; Hozumi Y; Wei GW
    Comput Biol Med; 2024 Jun; 175():108497. PubMed ID: 38678944
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identifying gene expression programs in single-cell RNA-seq data using linear correlation explanation.
    Nussbaum YI; Hossain KSMT; Kaifi J; Warren WC; Shyu CR; Mitchem JB
    J Biomed Inform; 2024 Jun; 154():104644. PubMed ID: 38631462
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Millefy: visualizing cell-to-cell heterogeneity in read coverage of single-cell RNA sequencing datasets.
    Ozaki H; Hayashi T; Umeda M; Nikaido I
    BMC Genomics; 2020 Mar; 21(1):177. PubMed ID: 32122302
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Ensemble dimensionality reduction and feature gene extraction for single-cell RNA-seq data.
    Sun X; Liu Y; An L
    Nat Commun; 2020 Nov; 11(1):5853. PubMed ID: 33203837
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Asc-Seurat: analytical single-cell Seurat-based web application.
    Pereira WJ; Almeida FM; Conde D; Balmant KM; Triozzi PM; Schmidt HW; Dervinis C; Pappas GJ; Kirst M
    BMC Bioinformatics; 2021 Nov; 22(1):556. PubMed ID: 34794383
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Analysis and Visualization of Single-Cell Sequencing Data with Scanpy and MetaCell: A Tutorial.
    Li Y; Sun C; Romanova DY; Wu DO; Fang R; Moroz LL
    Methods Mol Biol; 2024; 2757():383-445. PubMed ID: 38668977
    [TBL] [Abstract][Full Text] [Related]  

  • 10. CITEViz: interactively classify cell populations in CITE-Seq via a flow cytometry-like gating workflow using R-Shiny.
    Kong GL; Nguyen TT; Rosales WK; Panikar AD; Cheney JHW; Lusardi TA; Yashar WM; Curtiss BM; Carratt SA; Braun TP; Maxson JE
    BMC Bioinformatics; 2024 Apr; 25(1):142. PubMed ID: 38566005
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Single-cell RNA-seq denoising using a deep count autoencoder.
    Eraslan G; Simon LM; Mircea M; Mueller NS; Theis FJ
    Nat Commun; 2019 Jan; 10(1):390. PubMed ID: 30674886
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The promise of single-cell RNA sequencing for kidney disease investigation.
    Wu H; Humphreys BD
    Kidney Int; 2017 Dec; 92(6):1334-1342. PubMed ID: 28893418
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A generalization of t-SNE and UMAP to single-cell multimodal omics.
    Do VH; Canzar S
    Genome Biol; 2021 May; 22(1):130. PubMed ID: 33941244
    [TBL] [Abstract][Full Text] [Related]  

  • 14. D-EE: Distributed software for visualizing intrinsic structure of large-scale single-cell data.
    An S; Huang J; Wan L
    Gigascience; 2020 Nov; 9(11):. PubMed ID: 33179041
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Combined protein and transcript single-cell RNA sequencing in human peripheral blood mononuclear cells.
    Vallejo J; Saigusa R; Gulati R; Armstrong Suthahar SS; Suryawanshi V; Alimadadi A; Durant CP; Ghosheh Y; Roy P; Ehinger E; Pattarabanjird T; Hanna DB; Landay AL; Tracy RP; Lazar JM; Mack WJ; Weber KM; Adimora AA; Hodis HN; Tien PC; Ofotokun I; Heath SL; Shemesh A; McNamara CA; Lanier LL; Hedrick CC; Kaplan RC; Ley K
    BMC Biol; 2022 Sep; 20(1):193. PubMed ID: 36045343
    [TBL] [Abstract][Full Text] [Related]  

  • 16. No detectable alloreactive transcriptional responses under standard sample preparation conditions during donor-multiplexed single-cell RNA sequencing of peripheral blood mononuclear cells.
    McGinnis CS; Siegel DA; Xie G; Hartoularos G; Stone M; Ye CJ; Gartner ZJ; Roan NR; Lee SA
    BMC Biol; 2021 Jan; 19(1):10. PubMed ID: 33472616
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Review of Single-Cell RNA Sequencing in the Heart.
    Yamada S; Nomura S
    Int J Mol Sci; 2020 Nov; 21(21):. PubMed ID: 33172208
    [TBL] [Abstract][Full Text] [Related]  

  • 18. TripletCell: a deep metric learning framework for accurate annotation of cell types at the single-cell level.
    Liu Y; Wei G; Li C; Shen LC; Gasser RB; Song J; Chen D; Yu DJ
    Brief Bioinform; 2023 May; 24(3):. PubMed ID: 37080771
    [TBL] [Abstract][Full Text] [Related]  

  • 19. CASi: A framework for cross-timepoint analysis of single-cell RNA sequencing data.
    Wang Y; Flowers CR; Wang M; Huang X; Li Z
    Sci Rep; 2024 May; 14(1):10633. PubMed ID: 38724550
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Integrating single-cell RNA sequencing data to genome-wide association analysis data identifies significant cell types in influenza A virus infection and COVID-19.
    Zou Y; Sun X; Wang Y; Wang Y; Ye X; Tu J; Yu R; Huang P
    Brief Funct Genomics; 2024 Mar; 23(2):110-117. PubMed ID: 37340787
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 23.