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 *

188 related articles for article (PubMed ID: 37095510)

  • 21. iBitter-Fuse: A Novel Sequence-Based Bitter Peptide Predictor by Fusing Multi-View Features.
    Charoenkwan P; Nantasenamat C; Hasan MM; Moni MA; Lio' P; Shoombuatong W
    Int J Mol Sci; 2021 Aug; 22(16):. PubMed ID: 34445663
    [TBL] [Abstract][Full Text] [Related]  

  • 22. iRNA5hmC: The First Predictor to Identify RNA 5-Hydroxymethylcytosine Modifications Using Machine Learning.
    Liu Y; Chen D; Su R; Chen W; Wei L
    Front Bioeng Biotechnol; 2020; 8():227. PubMed ID: 32296686
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. Identifying RNA 5-methylcytosine sites via pseudo nucleotide compositions.
    Feng P; Ding H; Chen W; Lin H
    Mol Biosyst; 2016 Oct; 12(11):3307-3311. PubMed ID: 27531244
    [TBL] [Abstract][Full Text] [Related]  

  • 25. iRNA5hmC-HOC: High-order correlation information for identifying RNA 5-hydroxymethylcytosine modification.
    Zou H
    J Bioinform Comput Biol; 2022 Aug; 20(4):2250017. PubMed ID: 35918795
    [TBL] [Abstract][Full Text] [Related]  

  • 26. RF-SVM: Identification of DNA-binding proteins based on comprehensive feature representation methods and support vector machine.
    Zhang Y; Ni J; Gao Y
    Proteins; 2022 Feb; 90(2):395-404. PubMed ID: 34455627
    [TBL] [Abstract][Full Text] [Related]  

  • 27. 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]  

  • 28. Meta-2OM: A multi-classifier meta-model for the accurate prediction of RNA 2'-O-methylation sites in human RNA.
    Harun-Or-Roshid M; Pham NT; Manavalan B; Kurata H
    PLoS One; 2024; 19(6):e0305406. PubMed ID: 38924058
    [TBL] [Abstract][Full Text] [Related]  

  • 29. iMulti-HumPhos: a multi-label classifier for identifying human phosphorylated proteins using multiple kernel learning based support vector machines.
    Hasan MAM; Ahmad S; Molla MKI
    Mol Biosyst; 2017 Jul; 13(8):1608-1618. PubMed ID: 28682387
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Adaboost-SVM-based probability algorithm for the prediction of all mature miRNA sites based on structured-sequence features.
    Wang Y; Ru J; Jiang Y; Zhang J
    Sci Rep; 2019 Feb; 9(1):1521. PubMed ID: 30728425
    [TBL] [Abstract][Full Text] [Related]  

  • 31. RNADSN: Transfer-Learning 5-Methyluridine (m
    Li Z; Mao J; Huang D; Song B; Meng J
    Int J Mol Sci; 2022 Nov; 23(21):. PubMed ID: 36362279
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Accurate prediction of protein-protein interactions by integrating potential evolutionary information embedded in PSSM profile and discriminative vector machine classifier.
    Li ZW; You ZH; Chen X; Li LP; Huang DS; Yan GY; Nie R; Huang YA
    Oncotarget; 2017 Apr; 8(14):23638-23649. PubMed ID: 28423569
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Physiological and biochemical studies on the function of 5-methyluridine in the transfer ribonucleic acid of Escherichia coli.
    Björk GR; Neidhardt FC
    J Bacteriol; 1975 Oct; 124(1):99-111. PubMed ID: 1100618
    [TBL] [Abstract][Full Text] [Related]  

  • 34. HSM6AP: a high-precision predictor for the Homo
    Li J; He S; Guo F; Zou Q
    RNA Biol; 2021 Nov; 18(11):1882-1892. PubMed ID: 33446014
    [TBL] [Abstract][Full Text] [Related]  

  • 35. m5UMCB: Prediction of RNA 5-methyluridine sites using multi-scale convolutional neural network with BiLSTM.
    Ji Y; Sun J; Xie J; Wu W; Shuai SC; Zhao Q; Chen W
    Comput Biol Med; 2024 Jan; 168():107793. PubMed ID: 38048661
    [TBL] [Abstract][Full Text] [Related]  

  • 36. iLM-2L: A two-level predictor for identifying protein lysine methylation sites and their methylation degrees by incorporating K-gap amino acid pairs into Chou׳s general PseAAC.
    Ju Z; Cao JZ; Gu H
    J Theor Biol; 2015 Nov; 385():50-7. PubMed ID: 26254214
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A Feature Fusion Predictor for RNA Pseudouridine Sites with Particle Swarm Optimizer Based Feature Selection and Ensemble Learning Approach.
    Wang X; Lin X; Wang R; Han N; Fan K; Han L; Ding Z
    Curr Issues Mol Biol; 2021 Nov; 43(3):1844-1858. PubMed ID: 34889887
    [TBL] [Abstract][Full Text] [Related]  

  • 38. DP-BINDER: machine learning model for prediction of DNA-binding proteins by fusing evolutionary and physicochemical information.
    Ali F; Ahmed S; Swati ZNK; Akbar S
    J Comput Aided Mol Des; 2019 Jul; 33(7):645-658. PubMed ID: 31123959
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Multi-view L2-SVM and its multi-view core vector machine.
    Huang C; Chung FL; Wang S
    Neural Netw; 2016 Mar; 75():110-25. PubMed ID: 26773824
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Fast Prediction of Protein Methylation Sites Using a Sequence-Based Feature Selection Technique.
    Wei L; Xing P; Shi G; Ji Z; Zou Q
    IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(4):1264-1273. PubMed ID: 28222000
    [TBL] [Abstract][Full Text] [Related]  

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