These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

154 related articles for article (PubMed ID: 38503342)

  • 1. Oscillatory differentiation dynamics fundamentally restricts the resolution of pseudotime reconstruction algorithms.
    Vo HK; Dawes JHP; Kelsh RN
    J R Soc Interface; 2024 Mar; 21(212):20230537. PubMed ID: 38503342
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Pseudotime Reconstruction Using TSCAN.
    Ji Z; Ji H
    Methods Mol Biol; 2019; 1935():115-124. PubMed ID: 30758823
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Inferring Causal Gene Regulatory Networks from Coupled Single-Cell Expression Dynamics Using Scribe.
    Qiu X; Rahimzamani A; Wang L; Ren B; Mao Q; Durham T; McFaline-Figueroa JL; Saunders L; Trapnell C; Kannan S
    Cell Syst; 2020 Mar; 10(3):265-274.e11. PubMed ID: 32135093
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Concepts and limitations for learning developmental trajectories from single cell genomics.
    Tritschler S; Büttner M; Fischer DS; Lange M; Bergen V; Lickert H; Theis FJ
    Development; 2019 Jun; 146(12):. PubMed ID: 31249007
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Trajectory Algorithms to Infer Stem Cell Fate Decisions.
    Lummertz da Rocha E; Malleshaiah M
    Methods Mol Biol; 2019; 1975():193-209. PubMed ID: 31062311
    [TBL] [Abstract][Full Text] [Related]  

  • 6. CellRank for directed single-cell fate mapping.
    Lange M; Bergen V; Klein M; Setty M; Reuter B; Bakhti M; Lickert H; Ansari M; Schniering J; Schiller HB; Pe'er D; Theis FJ
    Nat Methods; 2022 Feb; 19(2):159-170. PubMed ID: 35027767
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Branch Point on Differentiation Trajectory is the Bifurcating Event Revealed by Dynamical Network Biomarker Analysis of Single-Cell Data.
    Chen Z; Bai X; Ma L; Wang X; Liu X; Liu Y; Chen L; Wan L
    IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(2):366-375. PubMed ID: 29994127
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Reconstruction of Single-Cell Trajectories Using Stochastic Tree Search.
    Zhai J; Ji H; Jiang H
    Genes (Basel); 2023 Jan; 14(2):. PubMed ID: 36833245
    [TBL] [Abstract][Full Text] [Related]  

  • 9. PseudoGA: cell pseudotime reconstruction based on genetic algorithm.
    Mondal PK; Saha US; Mukhopadhyay I
    Nucleic Acids Res; 2021 Aug; 49(14):7909-7924. PubMed ID: 34244782
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A robust and accurate single-cell data trajectory inference method using ensemble pseudotime.
    Zhang Y; Tran D; Nguyen T; Dascalu SM; Harris FC
    BMC Bioinformatics; 2023 Feb; 24(1):55. PubMed ID: 36803767
    [TBL] [Abstract][Full Text] [Related]  

  • 11. CytoTree: an R/Bioconductor package for analysis and visualization of flow and mass cytometry data.
    Dai Y; Xu A; Li J; Wu L; Yu S; Chen J; Zhao W; Sun XJ; Huang J
    BMC Bioinformatics; 2021 Mar; 22(1):138. PubMed ID: 33752602
    [TBL] [Abstract][Full Text] [Related]  

  • 12. LEAP: constructing gene co-expression networks for single-cell RNA-sequencing data using pseudotime ordering.
    Specht AT; Li J
    Bioinformatics; 2017 Mar; 33(5):764-766. PubMed ID: 27993778
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Unraveling the timeline of gene expression: A pseudotemporal trajectory analysis of single-cell RNA sequencing data.
    Cheng J; Smyth GK; Chen Y
    F1000Res; 2023; 12():684. PubMed ID: 37994351
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Quantifying pluripotency landscape of cell differentiation from scRNA-seq data by continuous birth-death process.
    Shi J; Li T; Chen L; Aihara K
    PLoS Comput Biol; 2019 Nov; 15(11):e1007488. PubMed ID: 31721764
    [TBL] [Abstract][Full Text] [Related]  

  • 15. LISA: Accurate reconstruction of cell trajectory and pseudo-time for massive single cell RNA-seq data.
    Chen Y; Zhang Y; Ouyang Z
    Pac Symp Biocomput; 2019; 24():338-349. PubMed ID: 30864335
    [TBL] [Abstract][Full Text] [Related]  

  • 16. scEpath: energy landscape-based inference of transition probabilities and cellular trajectories from single-cell transcriptomic data.
    Jin S; MacLean AL; Peng T; Nie Q
    Bioinformatics; 2018 Jun; 34(12):2077-2086. PubMed ID: 29415263
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Tempora: Cell trajectory inference using time-series single-cell RNA sequencing data.
    Tran TN; Bader GD
    PLoS Comput Biol; 2020 Sep; 16(9):e1008205. PubMed ID: 32903255
    [TBL] [Abstract][Full Text] [Related]  

  • 18. BLTSA: pseudotime prediction for single cells by branched local tangent space alignment.
    Li L; Zhao Y; Li H; Zhang S
    Bioinformatics; 2023 Feb; 39(2):. PubMed ID: 36692140
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Diffusion maps for high-dimensional single-cell analysis of differentiation data.
    Haghverdi L; Buettner F; Theis FJ
    Bioinformatics; 2015 Sep; 31(18):2989-98. PubMed ID: 26002886
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 8.