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 *

227 related articles for article (PubMed ID: 27889431)

  • 21. Exploring microRNA Regulation of Cancer with Context-Aware Deep Cancer Classifier.
    Pyman B; Sedghi A; Azizi S; Tyryshkin K; Renwick N; Mousavi P
    Pac Symp Biocomput; 2019; 24():160-171. PubMed ID: 30864319
    [TBL] [Abstract][Full Text] [Related]  

  • 22. LEMRG: Decision Rule Generation Algorithm for Mining MicroRNA Expression Data.
    Piątek Ł; Grzymała-Busse JW
    Adv Exp Med Biol; 2017; 1028():105-137. PubMed ID: 29058219
    [TBL] [Abstract][Full Text] [Related]  

  • 23. A novel method for predicting kidney stone type using ensemble learning.
    Kazemi Y; Mirroshandel SA
    Artif Intell Med; 2018 Jan; 84():117-126. PubMed ID: 29241659
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Feature selection and tumor classification for microarray data using relaxed Lasso and generalized multi-class support vector machine.
    Kang C; Huo Y; Xin L; Tian B; Yu B
    J Theor Biol; 2019 Feb; 463():77-91. PubMed ID: 30537483
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Genome-wide analysis of NGS data to compile cancer-specific panels of miRNA biomarkers.
    Bhowmick SS; Saha I; Bhattacharjee D; Genovese LM; Geraci F
    PLoS One; 2018; 13(7):e0200353. PubMed ID: 30048452
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Random Subspace Aggregation for Cancer Prediction with Gene Expression Profiles.
    Yang L; Liu Z; Yuan X; Wei J; Zhang J
    Biomed Res Int; 2016; 2016():4596326. PubMed ID: 27999797
    [No Abstract]   [Full Text] [Related]  

  • 27. imDC: an ensemble learning method for imbalanced classification with miRNA data.
    Wang CY; Hu LL; Guo MZ; Liu XY; Zou Q
    Genet Mol Res; 2015 Jan; 14(1):123-33. PubMed ID: 25729943
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Ensemble-based classification approach for micro-RNA mining applied on diverse metagenomic sequences.
    ElGokhy SM; ElHefnawi M; Shoukry A
    BMC Res Notes; 2014 May; 7():286. PubMed ID: 24884968
    [TBL] [Abstract][Full Text] [Related]  

  • 29. MLMDA: a machine learning approach to predict and validate MicroRNA-disease associations by integrating of heterogenous information sources.
    Zheng K; You ZH; Wang L; Zhou Y; Li LP; Li ZW
    J Transl Med; 2019 Aug; 17(1):260. PubMed ID: 31395072
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Cancer Classification with a Cost-Sensitive Naive Bayes Stacking Ensemble.
    Xiong Y; Ye M; Wu C
    Comput Math Methods Med; 2021; 2021():5556992. PubMed ID: 33986823
    [TBL] [Abstract][Full Text] [Related]  

  • 31. μHEM for identification of differentially expressed miRNAs using hypercuboid equivalence partition matrix.
    Paul S; Maji P
    BMC Bioinformatics; 2013 Sep; 14():266. PubMed ID: 24006840
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Machine learning integrated ensemble of feature selection methods followed by survival analysis for predicting breast cancer subtype specific miRNA biomarkers.
    Sarkar JP; Saha I; Sarkar A; Maulik U
    Comput Biol Med; 2021 Apr; 131():104244. PubMed ID: 33550016
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Rough sets for in silico identification of differentially expressed miRNAs.
    Paul S; Maji P
    Int J Nanomedicine; 2013; 8 Suppl 1(Suppl 1):63-74. PubMed ID: 24098080
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Fast and accurate microRNA search using CNN.
    Tang X; Sun Y
    BMC Bioinformatics; 2019 Dec; 20(Suppl 23):646. PubMed ID: 31881831
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Using fuzzy association rule mining in cancer classification.
    Mahmoodian H; Hamiruce Marhaban M; Abdulrahim R; Rosli R; Saripan I
    Australas Phys Eng Sci Med; 2011 Apr; 34(1):41-54. PubMed ID: 21327594
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Ensemble of kernel ridge regression-based small molecule-miRNA association prediction in human disease.
    Wang CC; Zhu CC; Chen X
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34676393
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Ensemble of decision tree reveals potential miRNA-disease associations.
    Chen X; Zhu CC; Yin J
    PLoS Comput Biol; 2019 Jul; 15(7):e1007209. PubMed ID: 31329575
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Multiclass cancer classification using gene expression profiling and probabilistic neural networks.
    Berrar DP; Downes CS; Dubitzky W
    Pac Symp Biocomput; 2003; ():5-16. PubMed ID: 12603013
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Ensemble Clustering Classification compete SVM and One-Class classifiers applied on plant microRNAs Data.
    Yousef M; Khalifa W; AbedAllah L
    J Integr Bioinform; 2016 Dec; 13(5):304. PubMed ID: 28187418
    [TBL] [Abstract][Full Text] [Related]  

  • 40. A deep learning-based multi-model ensemble method for cancer prediction.
    Xiao Y; Wu J; Lin Z; Zhao X
    Comput Methods Programs Biomed; 2018 Jan; 153():1-9. PubMed ID: 29157442
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 12.