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 *

194 related articles for article (PubMed ID: 38127088)

  • 21. Integrating spatial transcriptomics and bulk RNA-seq: predicting gene expression with enhanced resolution through graph attention networks.
    Baul S; Tanvir Ahmed K; Jiang Q; Wang G; Li Q; Yong J; Zhang W
    Brief Bioinform; 2024 May; 25(4):. PubMed ID: 38960406
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A novel graph-based k-partitioning approach improves the detection of gene-gene correlations by single-cell RNA sequencing.
    Xu H; Hu Y; Zhang X; Aouizerat BE; Yan C; Xu K
    BMC Genomics; 2022 Jan; 23(1):35. PubMed ID: 34996359
    [TBL] [Abstract][Full Text] [Related]  

  • 23. GNN-based embedding for clustering scRNA-seq data.
    Ciortan M; Defrance M
    Bioinformatics; 2022 Jan; 38(4):1037-1044. PubMed ID: 34850828
    [TBL] [Abstract][Full Text] [Related]  

  • 24. CellVGAE: an unsupervised scRNA-seq analysis workflow with graph attention networks.
    Buterez D; Bica I; Tariq I; Andrés-Terré H; Liò P
    Bioinformatics; 2022 Feb; 38(5):1277-1286. PubMed ID: 34864884
    [TBL] [Abstract][Full Text] [Related]  

  • 25. stPlus: a reference-based method for the accurate enhancement of spatial transcriptomics.
    Shengquan C; Boheng Z; Xiaoyang C; Xuegong Z; Rui J
    Bioinformatics; 2021 Jul; 37(Suppl_1):i299-i307. PubMed ID: 34252941
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Network-Based Structural Learning Nonnegative Matrix Factorization Algorithm for Clustering of scRNA-Seq Data.
    Wu W; Ma X
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(1):566-575. PubMed ID: 35316190
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Evaluation of cell-cell interaction methods by integrating single-cell RNA sequencing data with spatial information.
    Liu Z; Sun D; Wang C
    Genome Biol; 2022 Oct; 23(1):218. PubMed ID: 36253792
    [TBL] [Abstract][Full Text] [Related]  

  • 28. CL-Impute: A contrastive learning-based imputation for dropout single-cell RNA-seq data.
    Shi Y; Wan J; Zhang X; Yin Y
    Comput Biol Med; 2023 Sep; 164():107263. PubMed ID: 37531858
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Single-cell RNA-seq data analysis based on directed graph neural network.
    Feng X; Zhang H; Lin H; Long H
    Methods; 2023 Mar; 211():48-60. PubMed ID: 36804214
    [TBL] [Abstract][Full Text] [Related]  

  • 30. scGAAC: A graph attention autoencoder for clustering single-cell RNA-sequencing data.
    Zhang L; Xiang H; Wang F; Chen Z; Shen M; Ma J; Liu H; Zheng H
    Methods; 2024 Jun; 229():115-124. PubMed ID: 38950719
    [TBL] [Abstract][Full Text] [Related]  

  • 31. scMRA: a robust deep learning method to annotate scRNA-seq data with multiple reference datasets.
    Yuan M; Chen L; Deng M
    Bioinformatics; 2022 Jan; 38(3):738-745. PubMed ID: 34623390
    [TBL] [Abstract][Full Text] [Related]  

  • 32. SpatialcoGCN: deconvolution and spatial information-aware simulation of spatial transcriptomics data via deep graph co-embedding.
    Yin W; Wan Y; Zhou Y
    Brief Bioinform; 2024 Mar; 25(3):. PubMed ID: 38557675
    [TBL] [Abstract][Full Text] [Related]  

  • 33. MLSpatial: A machine-learning method to reconstruct the spatial distribution of cells from scRNA-seq by extracting spatial features.
    Zhu M; Li C; Lv K; Guo H; Hou R; Tian G; Yang J
    Comput Biol Med; 2023 Jun; 159():106873. PubMed ID: 37105115
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning.
    Lee J; Kim S; Hyun D; Lee N; Kim Y; Park C
    Bioinformatics; 2023 Jun; 39(6):. PubMed ID: 37233193
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Spatial Transcriptomic Cell-type Deconvolution Using Graph Neural Networks.
    Li Y; Luo Y
    bioRxiv; 2023 Jun; ():. PubMed ID: 37333198
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Identification of cell barcodes from long-read single-cell RNA-seq with BLAZE.
    You Y; Prawer YDJ; De Paoli-Iseppi R; Hunt CPJ; Parish CL; Shim H; Clark MB
    Genome Biol; 2023 Apr; 24(1):66. PubMed ID: 37024980
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Robust Graph Regularized NMF with Dissimilarity and Similarity Constraints for ScRNA-seq Data Clustering.
    Shu Z; Long Q; Zhang L; Yu Z; Wu XJ
    J Chem Inf Model; 2022 Dec; 62(23):6271-6286. PubMed ID: 36459053
    [TBL] [Abstract][Full Text] [Related]  

  • 38. STellaris: a web server for accurate spatial mapping of single cells based on spatial transcriptomics data.
    Li X; Xiao C; Qi J; Xue W; Xu X; Mu Z; Zhang J; Li CY; Ding W
    Nucleic Acids Res; 2023 Jul; 51(W1):W560-W568. PubMed ID: 37224539
    [TBL] [Abstract][Full Text] [Related]  

  • 39. stVAE deconvolves cell-type composition in large-scale cellular resolution spatial transcriptomics.
    Li C; Chan TF; Yang C; Lin Z
    Bioinformatics; 2023 Oct; 39(10):. PubMed ID: 37862237
    [TBL] [Abstract][Full Text] [Related]  

  • 40. spSeudoMap: cell type mapping of spatial transcriptomics using unmatched single-cell RNA-seq data.
    Bae S; Choi H; Lee DS
    Genome Med; 2023 Mar; 15(1):19. PubMed ID: 36932388
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.