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 *

174 related articles for article (PubMed ID: 36414658)

  • 1. Leveraging data-driven self-consistency for high-fidelity gene expression recovery.
    Islam MT; Wang JY; Ren H; Li X; Khuzani MB; Sang S; Yu L; Shen L; Zhao W; Xing L
    Nat Commun; 2022 Nov; 13(1):7142. PubMed ID: 36414658
    [TBL] [Abstract][Full Text] [Related]  

  • 2. GE-Impute: graph embedding-based imputation for single-cell RNA-seq data.
    Wu X; Zhou Y
    Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 35901457
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Self-supervised deep learning of gene-gene interactions for improved gene expression recovery.
    Wei Q; Islam MT; Zhou Y; Xing L
    Brief Bioinform; 2024 Jan; 25(2):. PubMed ID: 38349062
    [TBL] [Abstract][Full Text] [Related]  

  • 4. I-Impute: a self-consistent method to impute single cell RNA sequencing data.
    Feng X; Chen L; Wang Z; Li SC
    BMC Genomics; 2020 Nov; 21(Suppl 10):618. PubMed ID: 33208097
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. scGGAN: single-cell RNA-seq imputation by graph-based generative adversarial network.
    Huang Z; Wang J; Lu X; Mohd Zain A; Yu G
    Brief Bioinform; 2023 Mar; 24(2):. PubMed ID: 36733262
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Missing Value Imputation With Low-Rank Matrix Completion in Single-Cell RNA-Seq Data by Considering Cell Heterogeneity.
    Huang M; Ye X; Li H; Sakurai T
    Front Genet; 2022; 13():952649. PubMed ID: 35910201
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Accurate and interpretable gene expression imputation on scRNA-seq data using IGSimpute.
    Xu K; Cheong C; Veldsman WP; Lyu A; Cheung WK; Zhang L
    Brief Bioinform; 2023 May; 24(3):. PubMed ID: 37039664
    [TBL] [Abstract][Full Text] [Related]  

  • 9. scINRB: single-cell gene expression imputation with network regularization and bulk RNA-seq data.
    Kang Y; Zhang H; Guan J
    Brief Bioinform; 2024 Mar; 25(3):. PubMed ID: 38600665
    [TBL] [Abstract][Full Text] [Related]  

  • 10. AutoImpute: Autoencoder based imputation of single-cell RNA-seq data.
    Talwar D; Mongia A; Sengupta D; Majumdar A
    Sci Rep; 2018 Nov; 8(1):16329. PubMed ID: 30397240
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A novel method for single-cell data imputation using subspace regression.
    Tran D; Tran B; Nguyen H; Nguyen T
    Sci Rep; 2022 Feb; 12(1):2697. PubMed ID: 35177662
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Epi-Impute: Single-Cell RNA-seq Imputation via Integration with Single-Cell ATAC-seq.
    Raevskiy M; Yanvarev V; Jung S; Del Sol A; Medvedeva YA
    Int J Mol Sci; 2023 Mar; 24(7):. PubMed ID: 37047200
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A posterior probability based Bayesian method for single-cell RNA-seq data imputation.
    Chen S; Zheng R; Tian L; Wu FX; Li M
    Methods; 2023 Aug; 216():21-38. PubMed ID: 37315825
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Imputing missing RNA-sequencing data from DNA methylation by using a transfer learning-based neural network.
    Zhou X; Chai H; Zhao H; Luo CH; Yang Y
    Gigascience; 2020 Jul; 9(7):. PubMed ID: 32649756
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Imputation for Single-cell RNA-seq Data with Non-negative Matrix Factorization and Transfer Learning.
    Zhu J; Yang Y
    J Bioinform Comput Biol; 2023 Dec; 21(6):2350029. PubMed ID: 38248911
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Model-based autoencoders for imputing discrete single-cell RNA-seq data.
    Tian T; Min MR; Wei Z
    Methods; 2021 Aug; 192():112-119. PubMed ID: 32971193
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Imputation of Gene Expression Data in Blood Cancer and Its Significance in Inferring Biological Pathways.
    Farswan A; Gupta A; Gupta R; Kaur G
    Front Oncol; 2019; 9():1442. PubMed ID: 31970084
    [No Abstract]   [Full Text] [Related]  

  • 18. Missing value imputation for gene expression data: computational techniques to recover missing data from available information.
    Liew AW; Law NF; Yan H
    Brief Bioinform; 2011 Sep; 12(5):498-513. PubMed ID: 21156727
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Selective estrogen receptor-beta (SERM-beta) compounds modulate raphe nuclei tryptophan hydroxylase-1 (TPH-1) mRNA expression and cause antidepressant-like effects in the forced swim test.
    Clark JA; Alves S; Gundlah C; Rocha B; Birzin ET; Cai SJ; Flick R; Hayes E; Ho K; Warrier S; Pai L; Yudkovitz J; Fleischer R; Colwell L; Li S; Wilkinson H; Schaeffer J; Wilkening R; Mattingly E; Hammond M; Rohrer SP
    Neuropharmacology; 2012 Nov; 63(6):1051-63. PubMed ID: 22796107
    [TBL] [Abstract][Full Text] [Related]  

  • 20. SparRec: An effective matrix completion framework of missing data imputation for GWAS.
    Jiang B; Ma S; Causey J; Qiao L; Hardin MP; Bitts I; Johnson D; Zhang S; Huang X
    Sci Rep; 2016 Oct; 6():35534. PubMed ID: 27762341
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.