BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

301 related articles for article (PubMed ID: 26667171)

  • 21. The end of gating? An introduction to automated analysis of high dimensional cytometry data.
    Mair F; Hartmann FJ; Mrdjen D; Tosevski V; Krieg C; Becher B
    Eur J Immunol; 2016 Jan; 46(1):34-43. PubMed ID: 26548301
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Generalizable and Scalable Visualization of Single-Cell Data Using Neural Networks.
    Cho H; Berger B; Peng J
    Cell Syst; 2018 Aug; 7(2):185-191.e4. PubMed ID: 29936184
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Evaluation of Distance Metrics and Spatial Autocorrelation in Uniform Manifold Approximation and Projection Applied to Mass Spectrometry Imaging Data.
    Smets T; Verbeeck N; Claesen M; Asperger A; Griffioen G; Tousseyn T; Waelput W; Waelkens E; De Moor B
    Anal Chem; 2019 May; 91(9):5706-5714. PubMed ID: 30986042
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Dimensionality reduction and visualisation of hyperspectral ink data using t-SNE.
    Melit Devassy B; George S
    Forensic Sci Int; 2020 Jun; 311():110194. PubMed ID: 32251968
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Identification and visualization of multidimensional antigen-specific T-cell populations in polychromatic cytometry data.
    Lin L; Frelinger J; Jiang W; Finak G; Seshadri C; Bart PA; Pantaleo G; McElrath J; DeRosa S; Gottardo R
    Cytometry A; 2015 Jul; 87(7):675-82. PubMed ID: 25908275
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Mass cytometry analysis of human T cell phenotype and function.
    Newell EW; Yun LL
    Methods Mol Biol; 2014; 1193():55-68. PubMed ID: 25150997
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Background fluorescence and spreading error are major contributors of variability in high-dimensional flow cytometry data visualization by t-distributed stochastic neighboring embedding.
    Mazza EMC; Brummelman J; Alvisi G; Roberto A; De Paoli F; Zanon V; Colombo F; Roederer M; Lugli E
    Cytometry A; 2018 Aug; 93(8):785-792. PubMed ID: 30107099
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Statistical method scDEED for detecting dubious 2D single-cell embeddings and optimizing t-SNE and UMAP hyperparameters.
    Xia L; Lee C; Li JJ
    Nat Commun; 2024 Feb; 15(1):1753. PubMed ID: 38409103
    [TBL] [Abstract][Full Text] [Related]  

  • 29. CyteGuide: Visual Guidance for Hierarchical Single-Cell Analysis.
    Hollt T; Pezzotti N; van Unen V; Koning F; Lelieveldt BPF; Vilanova A
    IEEE Trans Vis Comput Graph; 2018 Jan; 24(1):739-748. PubMed ID: 28866537
    [TBL] [Abstract][Full Text] [Related]  

  • 30. A Novel Radar HRRP Recognition Method with Accelerated T-Distributed Stochastic Neighbor Embedding and Density-Based Clustering.
    Wu H; Dai D; Wang X
    Sensors (Basel); 2019 Nov; 19(23):. PubMed ID: 31766679
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Time-Lagged t-Distributed Stochastic Neighbor Embedding (t-SNE) of Molecular Simulation Trajectories.
    Spiwok V; Kříž P
    Front Mol Biosci; 2020; 7():132. PubMed ID: 32714941
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Performance comparison of dimensionality reduction methods on RNA-Seq data from the GTEx project.
    Seok HS
    Genes Genomics; 2020 Feb; 42(2):225-234. PubMed ID: 31833048
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Visualizing the spatial gene expression organization in the brain through non-linear similarity embeddings.
    Mahfouz A; van de Giessen M; van der Maaten L; Huisman S; Reinders M; Hawrylycz MJ; Lelieveldt BP
    Methods; 2015 Feb; 73():79-89. PubMed ID: 25449901
    [TBL] [Abstract][Full Text] [Related]  

  • 34. GPGPU Linear Complexity t-SNE Optimization.
    Pezzotti N; Thijssen J; Mordvintsev A; Hollt T; Van Lew B; Lelieveldt BPF; Eisemann E; Vilanova A
    IEEE Trans Vis Comput Graph; 2020 Jan; 26(1):1172-1181. PubMed ID: 31449023
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Dimension reduction and outlier detection of 3-D shapes derived from multi-organ CT images.
    Selle M; Kircher M; Schwennen C; Visscher C; Jung K
    BMC Med Inform Decis Mak; 2024 Feb; 24(1):49. PubMed ID: 38355504
    [TBL] [Abstract][Full Text] [Related]  

  • 36. The art of using t-SNE for single-cell transcriptomics.
    Kobak D; Berens P
    Nat Commun; 2019 Nov; 10(1):5416. PubMed ID: 31780648
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A Preprocessing Manifold Learning Strategy Based on t-Distributed Stochastic Neighbor Embedding.
    Shi S; Xu Y; Xu X; Mo X; Ding J
    Entropy (Basel); 2023 Jul; 25(7):. PubMed ID: 37510011
    [TBL] [Abstract][Full Text] [Related]  

  • 38. immunoClust--An automated analysis pipeline for the identification of immunophenotypic signatures in high-dimensional cytometric datasets.
    Sörensen T; Baumgart S; Durek P; Grützkau A; Häupl T
    Cytometry A; 2015 Jul; 87(7):603-15. PubMed ID: 25850678
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Comparative exploration of multidimensional flow cytometry software: a model approach evaluating T cell polyfunctional behavior.
    Spear TT; Nishimura MI; Simms PE
    J Leukoc Biol; 2017 Aug; 102(2):551-561. PubMed ID: 28550117
    [TBL] [Abstract][Full Text] [Related]  

  • 40. A Frequency-Based Approach for the Detection and Classification of Structural Changes Using
    Agis D; Pozo F
    Sensors (Basel); 2019 Nov; 19(23):. PubMed ID: 31766460
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 16.