BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

328 related articles for article (PubMed ID: 34337652)

  • 1. PScL-HDeep: image-based prediction of protein subcellular location in human tissue using ensemble learning of handcrafted and deep learned features with two-layer feature selection.
    Ullah M; Han K; Hadi F; Xu J; Song J; Yu DJ
    Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34337652
    [TBL] [Abstract][Full Text] [Related]  

  • 2. PScL-DDCFPred: an ensemble deep learning-based approach for characterizing multiclass subcellular localization of human proteins from bioimage data.
    Ullah M; Hadi F; Song J; Yu DJ
    Bioinformatics; 2022 Aug; 38(16):4019-4026. PubMed ID: 35771606
    [TBL] [Abstract][Full Text] [Related]  

  • 3. PScL-2LSAESM: bioimage-based prediction of protein subcellular localization by integrating heterogeneous features with the two-level SAE-SM and mean ensemble method.
    Ullah M; Hadi F; Song J; Yu DJ
    Bioinformatics; 2023 Jan; 39(1):. PubMed ID: 36413068
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Computer-assisted lip diagnosis on Traditional Chinese Medicine using multi-class support vector machines.
    Li F; Zhao C; Xia Z; Wang Y; Zhou X; Li GZ
    BMC Complement Altern Med; 2012 Aug; 12():127. PubMed ID: 22898352
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Combining handcrafted features with latent variables in machine learning for prediction of radiation-induced lung damage.
    Cui S; Luo Y; Tseng HH; Ten Haken RK; El Naqa I
    Med Phys; 2019 May; 46(5):2497-2511. PubMed ID: 30891794
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Protein subcellular localization prediction using multiple kernel learning based support vector machine.
    Hasan MA; Ahmad S; Molla MK
    Mol Biosyst; 2017 Mar; 13(4):785-795. PubMed ID: 28247893
    [TBL] [Abstract][Full Text] [Related]  

  • 7. TargetDBP: Accurate DNA-Binding Protein Prediction Via Sequence-Based Multi-View Feature Learning.
    Hu J; Zhou XG; Zhu YH; Yu DJ; Zhang GJ
    IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(4):1419-1429. PubMed ID: 30668479
    [TBL] [Abstract][Full Text] [Related]  

  • 8. iAPSL-IF: Identification of Apoptosis Protein Subcellular Location Using Integrative Features Captured from Amino Acid Sequences.
    Tang Y; Xie L; Chen L
    Int J Mol Sci; 2018 Apr; 19(4):. PubMed ID: 29652843
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prediction of nuclear proteins using nuclear translocation signals proposed by probabilistic latent semantic indexing.
    Su EC; Chang JM; Cheng CW; Sung TY; Hsu WL
    BMC Bioinformatics; 2012; 13 Suppl 17(Suppl 17):S13. PubMed ID: 23282098
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An efficient model selection for linear discriminant function-based recursive feature elimination.
    Ding X; Yang F; Ma F
    J Biomed Inform; 2022 May; 129():104070. PubMed ID: 35436594
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Ensemble Feature Learning of Genomic Data Using Support Vector Machine.
    Anaissi A; Goyal M; Catchpoole DR; Braytee A; Kennedy PJ
    PLoS One; 2016; 11(6):e0157330. PubMed ID: 27304923
    [TBL] [Abstract][Full Text] [Related]  

  • 12. LncLocation: Efficient Subcellular Location Prediction of Long Non-Coding RNA-Based Multi-Source Heterogeneous Feature Fusion.
    Feng S; Liang Y; Du W; Lv W; Li Y
    Int J Mol Sci; 2020 Oct; 21(19):. PubMed ID: 33019721
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An Efficient Feature Selection Strategy Based on Multiple Support Vector Machine Technology with Gene Expression Data.
    Zhang Y; Deng Q; Liang W; Zou X
    Biomed Res Int; 2018; 2018():7538204. PubMed ID: 30228989
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Subcellular location prediction of apoptosis proteins using two novel feature extraction methods based on evolutionary information and LDA.
    Du L; Meng Q; Chen Y; Wu P
    BMC Bioinformatics; 2020 May; 21(1):212. PubMed ID: 32448129
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Bioimage-Based Prediction of Protein Subcellular Location in Human Tissue with Ensemble Features and Deep Networks.
    Liu GH; Zhang BW; Qian G; Wang B; Mao B; Bichindaritz I
    IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(6):1966-1980. PubMed ID: 31107658
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Efficient computational model for classification of protein localization images using Extended Threshold Adjacency Statistics and Support Vector Machines.
    Tahir M; Jan B; Hayat M; Shah SU; Amin M
    Comput Methods Programs Biomed; 2018 Apr; 157():205-215. PubMed ID: 29477429
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Selecting Feature Subsets Based on SVM-RFE and the Overlapping Ratio with Applications in Bioinformatics.
    Lin X; Li C; Zhang Y; Su B; Fan M; Wei H
    Molecules; 2017 Dec; 23(1):. PubMed ID: 29278382
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Tuning to optimize SVM approach for assisting ovarian cancer diagnosis with photoacoustic imaging.
    Wang R; Li R; Lei Y; Zhu Q
    Biomed Mater Eng; 2015; 26 Suppl 1():S975-81. PubMed ID: 26406101
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Predicting protein subcellular localization based on information content of gene ontology terms.
    Zhang SB; Tang QR
    Comput Biol Chem; 2016 Dec; 65():1-7. PubMed ID: 27665466
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automated protein subcellular localization based on local invariant features.
    Li C; Wang XH; Zheng L; Huang JF
    Protein J; 2013 Mar; 32(3):230-7. PubMed ID: 23512411
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.