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 *

152 related articles for article (PubMed ID: 31593226)

  • 21. 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]  

  • 22. STS-NLSP: A Network-Based Label Space Partition Method for Predicting the Specificity of Membrane Transporter Substrates Using a Hybrid Feature of Structural and Semantic Similarity.
    Wang X; Zhu X; Ye M; Wang Y; Li CD; Xiong Y; Wei DQ
    Front Bioeng Biotechnol; 2019; 7():306. PubMed ID: 31781551
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Classification of THz pulse signals using two-dimensional cross-correlation feature extraction and non-linear classifiers.
    Siuly ; Yin X; Hadjiloucas S; Zhang Y
    Comput Methods Programs Biomed; 2016 Apr; 127():64-82. PubMed ID: 27000290
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Accurate prediction of potential druggable proteins based on genetic algorithm and Bagging-SVM ensemble classifier.
    Lin J; Chen H; Li S; Liu Y; Li X; Yu B
    Artif Intell Med; 2019 Jul; 98():35-47. PubMed ID: 31521251
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Identifying Functions of Proteins in Mice With Functional Embedding Features.
    Li H; Zhang S; Chen L; Pan X; Li Z; Huang T; Cai YD
    Front Genet; 2022; 13():909040. PubMed ID: 35651937
    [TBL] [Abstract][Full Text] [Related]  

  • 26. iMPT-FDNPL: Identification of Membrane Protein Types with Functional Domains and a Natural Language Processing Approach.
    Chen W; Chen L; Dai Q
    Comput Math Methods Med; 2021; 2021():7681497. PubMed ID: 34671418
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Prediction of Recombination Spots Using Novel Hybrid Feature Extraction Method via Deep Learning Approach.
    Khan F; Khan M; Iqbal N; Khan S; Muhammad Khan D; Khan A; Wei DQ
    Front Genet; 2020; 11():539227. PubMed ID: 33093842
    [TBL] [Abstract][Full Text] [Related]  

  • 28. RNPredATC: A Deep Residual Learning-Based Model With Applications to the Prediction of Drug-ATC Code Association.
    Zhao H; Duan G; Ni P; Yan C; Li Y; Wang J
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(5):2712-2723. PubMed ID: 34110998
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Predicting gene phenotype by multi-label multi-class model based on essential functional features.
    Chen L; Li Z; Zeng T; Zhang YH; Li H; Huang T; Cai YD
    Mol Genet Genomics; 2021 Jul; 296(4):905-918. PubMed ID: 33914130
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Analysis of structural brain MRI and multi-parameter classification for Alzheimer's disease.
    Zhang Y; Liu S
    Biomed Tech (Berl); 2018 Jul; 63(4):427-437. PubMed ID: 28622141
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Predicting anatomic therapeutic chemical classification codes using tiered learning.
    Olson T; Singh R
    BMC Bioinformatics; 2017 Jun; 18(Suppl 8):266. PubMed ID: 28617230
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Automatic feed phase identification in multivariate bioprocess profiles by sequential binary classification.
    Nikzad-Langerodi R; Lughofer E; Saminger-Platz S; Zahel T; Sagmeister P; Herwig C
    Anal Chim Acta; 2017 Aug; 982():48-61. PubMed ID: 28734365
    [TBL] [Abstract][Full Text] [Related]  

  • 33. An ensemble approach to protein fold classification by integration of template-based assignment and support vector machine classifier.
    Xia J; Peng Z; Qi D; Mu H; Yang J
    Bioinformatics; 2017 Mar; 33(6):863-870. PubMed ID: 28039166
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Prediction of Drug Combinations with a Network Embedding Method.
    Wang T; Chen L; Zhao X
    Comb Chem High Throughput Screen; 2018; 21(10):789-797. PubMed ID: 30747059
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Improving protein-protein interactions prediction accuracy using protein evolutionary information and relevance vector machine model.
    An JY; Meng FR; You ZH; Chen X; Yan GY; Hu JP
    Protein Sci; 2016 Oct; 25(10):1825-33. PubMed ID: 27452983
    [TBL] [Abstract][Full Text] [Related]  

  • 36. A PCA aided cross-covariance scheme for discriminative feature extraction from EEG signals.
    Zarei R; He J; Siuly S; Zhang Y
    Comput Methods Programs Biomed; 2017 Jul; 146():47-57. PubMed ID: 28688489
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A Feature and Algorithm Selection Method for Improving the Prediction of Protein Structural Class.
    Ni Q; Chen L
    Comb Chem High Throughput Screen; 2017; 20(7):612-621. PubMed ID: 28292249
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Identification of a feature selection based pattern recognition scheme for finger movement recognition from multichannel EMG signals.
    Purushothaman G; Vikas R
    Australas Phys Eng Sci Med; 2018 Jun; 41(2):549-559. PubMed ID: 29744809
    [TBL] [Abstract][Full Text] [Related]  

  • 39. PDATC-NCPMKL: Predicting drug's Anatomical Therapeutic Chemical (ATC) codes based on network consistency projection and multiple kernel learning.
    Chen L; Xu J; Zhou Y
    Comput Biol Med; 2024 Feb; 169():107862. PubMed ID: 38150886
    [TBL] [Abstract][Full Text] [Related]  

  • 40. iATC-mISF: a multi-label classifier for predicting the classes of anatomical therapeutic chemicals.
    Cheng X; Zhao SG; Xiao X; Chou KC
    Bioinformatics; 2017 Aug; 33(16):2610. PubMed ID: 28810696
    [No Abstract]   [Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.