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 *

193 related articles for article (PubMed ID: 27587661)

  • 21. Cancer subtype identification by consensus guided graph autoencoders.
    Liang C; Shang M; Luo J
    Bioinformatics; 2021 Dec; 37(24):4779-4786. PubMed ID: 34289034
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Subtype-DCC: decoupled contrastive clustering method for cancer subtype identification based on multi-omics data.
    Zhao J; Zhao B; Song X; Lyu C; Chen W; Xiong Y; Wei DQ
    Brief Bioinform; 2023 Mar; 24(2):. PubMed ID: 36702755
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Integrative cancer patient stratification via subspace merging.
    Ding H; Sharpnack M; Wang C; Huang K; Machiraju R
    Bioinformatics; 2019 May; 35(10):1653-1659. PubMed ID: 30329022
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Deep multi-omics integration by learning correlation-maximizing representation identifies prognostically stratified cancer subtypes.
    Ji Y; Dutta P; Davuluri R
    Bioinform Adv; 2023; 3(1):vbad075. PubMed ID: 37424943
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Robust and efficient identification of biomarkers by classifying features on graphs.
    Hwang T; Sicotte H; Tian Z; Wu B; Kocher JP; Wigle DA; Kumar V; Kuang R
    Bioinformatics; 2008 Sep; 24(18):2023-9. PubMed ID: 18653521
    [TBL] [Abstract][Full Text] [Related]  

  • 26. NCC-AUC: an AUC optimization method to identify multi-biomarker panel for cancer prognosis from genomic and clinical data.
    Zou M; Liu Z; Zhang XS; Wang Y
    Bioinformatics; 2015 Oct; 31(20):3330-8. PubMed ID: 26092859
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Integrative clustering of multi-level 'omic data based on non-negative matrix factorization algorithm.
    Chalise P; Fridley BL
    PLoS One; 2017; 12(5):e0176278. PubMed ID: 28459819
    [TBL] [Abstract][Full Text] [Related]  

  • 28. polyClustR: defining communities of reconciled cancer subtypes with biological and prognostic significance.
    Eason K; Nyamundanda G; Sadanandam A
    BMC Bioinformatics; 2018 May; 19(1):182. PubMed ID: 29801433
    [TBL] [Abstract][Full Text] [Related]  

  • 29. MOVICS: an R package for multi-omics integration and visualization in cancer subtyping.
    Lu X; Meng J; Zhou Y; Jiang L; Yan F
    Bioinformatics; 2021 Apr; 36(22-23):5539-5541. PubMed ID: 33315104
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Molecular characterization of breast and lung tumors by integration of multiple data types with functional sparse-factor analysis.
    Bismeijer T; Canisius S; Wessels LFA
    PLoS Comput Biol; 2018 Oct; 14(10):e1006520. PubMed ID: 30379847
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Subtype-WESLR: identifying cancer subtype with weighted ensemble sparse latent representation of multi-view data.
    Song W; Wang W; Dai DQ
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34607358
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Gaussian mixture copulas for high-dimensional clustering and dependency-based subtyping.
    Kasa SR; Bhattacharya S; Rajan V
    Bioinformatics; 2020 Jan; 36(2):621-628. PubMed ID: 31368480
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Weighted dimensionality reduction and robust Gaussian mixture model based cancer patient subtyping from gene expression data.
    Rafique O; Mir AH
    J Biomed Inform; 2020 Dec; 112():103620. PubMed ID: 33188907
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Multi-omics integration with weighted affinity and self-diffusion applied for cancer subtypes identification.
    Duan X; Ding X; Zhao Z
    J Transl Med; 2024 Jan; 22(1):79. PubMed ID: 38243340
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A novel approach for data integration and disease subtyping.
    Nguyen T; Tagett R; Diaz D; Draghici S
    Genome Res; 2017 Dec; 27(12):2025-2039. PubMed ID: 29066617
    [TBL] [Abstract][Full Text] [Related]  

  • 36. CEPICS: A Comparison and Evaluation Platform for Integration Methods in Cancer Subtyping.
    Duan R; Gao L; Xu H; Song K; Hu Y; Wang H; Dong Y; Zhang C; Jia S
    Front Genet; 2019; 10():966. PubMed ID: 31649733
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Classifying tumors by supervised network propagation.
    Zhang W; Ma J; Ideker T
    Bioinformatics; 2018 Jul; 34(13):i484-i493. PubMed ID: 29949979
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A hierarchical clustering and data fusion approach for disease subtype discovery.
    Pfeifer B; Schimek MG
    J Biomed Inform; 2021 Jan; 113():103636. PubMed ID: 33271342
    [TBL] [Abstract][Full Text] [Related]  

  • 39. PINSPlus: a tool for tumor subtype discovery in integrated genomic data.
    Nguyen H; Shrestha S; Draghici S; Nguyen T
    Bioinformatics; 2019 Aug; 35(16):2843-2846. PubMed ID: 30590381
    [TBL] [Abstract][Full Text] [Related]  

  • 40. DMCM: a Data-adaptive Mutation Clustering Method to identify cancer-related mutation clusters.
    Lu X; Qian X; Li X; Miao Q; Peng S
    Bioinformatics; 2019 Feb; 35(3):389-397. PubMed ID: 30010784
    [TBL] [Abstract][Full Text] [Related]  

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