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 *

235 related articles for article (PubMed ID: 27530612)

  • 21. Predicting protein subcellular location with network embedding and enrichment features.
    Pan X; Lu L; Cai YD
    Biochim Biophys Acta Proteins Proteom; 2020 Oct; 1868(10):140477. PubMed ID: 32593761
    [TBL] [Abstract][Full Text] [Related]  

  • 22. GOexpress: an R/Bioconductor package for the identification and visualisation of robust gene ontology signatures through supervised learning of gene expression data.
    Rue-Albrecht K; McGettigan PA; Hernández B; Nalpas NC; Magee DA; Parnell AC; Gordon SV; MacHugh DE
    BMC Bioinformatics; 2016 Mar; 17():126. PubMed ID: 26968614
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Computational Approach to Investigating Key GO Terms and KEGG Pathways Associated with CNV.
    Luo Y; Yan Y; Zhang S; Li Z
    Biomed Res Int; 2018; 2018():8406857. PubMed ID: 29850576
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Identification of synthetic lethality based on a functional network by using machine learning algorithms.
    Li J; Lu L; Zhang YH; Liu M; Chen L; Huang T; Cai YD
    J Cell Biochem; 2019 Jan; 120(1):405-416. PubMed ID: 30125975
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Prediction of protein-protein interaction sites by random forest algorithm with mRMR and IFS.
    Li BQ; Feng KY; Chen L; Huang T; Cai YD
    PLoS One; 2012; 7(8):e43927. PubMed ID: 22937126
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Prediction of active sites of enzymes by maximum relevance minimum redundancy (mRMR) feature selection.
    Gao YF; Li BQ; Cai YD; Feng KY; Li ZD; Jiang Y
    Mol Biosyst; 2013 Jan; 9(1):61-9. PubMed ID: 23117653
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Analysis of tumor suppressor genes based on gene ontology and the KEGG pathway.
    Yang J; Chen L; Kong X; Huang T; Cai YD
    PLoS One; 2014; 9(9):e107202. PubMed ID: 25207935
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Systems analysis of gene ontology and biological pathways involved in post-myocardial infarction responses.
    Nguyen NT; Lindsey ML; Jin YF
    BMC Genomics; 2015; 16 Suppl 7(Suppl 7):S18. PubMed ID: 26100218
    [TBL] [Abstract][Full Text] [Related]  

  • 29. How to decide which are the most pertinent overly-represented features during gene set enrichment analysis.
    Barriot R; Sherman DJ; Dutour I
    BMC Bioinformatics; 2007 Sep; 8():332. PubMed ID: 17848190
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Prediction of tyrosine sulfation with mRMR feature selection and analysis.
    Niu S; Huang T; Feng K; Cai Y; Li Y
    J Proteome Res; 2010 Dec; 9(12):6490-7. PubMed ID: 20973568
    [TBL] [Abstract][Full Text] [Related]  

  • 31. EcmPred: prediction of extracellular matrix proteins based on random forest with maximum relevance minimum redundancy feature selection.
    Kandaswamy KK; Pugalenthi G; Kalies KU; Hartmann E; Martinetz T
    J Theor Biol; 2013 Jan; 317():377-83. PubMed ID: 23123454
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Prediction and analysis of retinoblastoma related genes through gene ontology and KEGG.
    Li Z; Li BQ; Jiang M; Chen L; Zhang J; Liu L; Huang T
    Biomed Res Int; 2013; 2013():304029. PubMed ID: 23998122
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Scalable prediction of compound-protein interactions using minwise hashing.
    Tabei Y; Yamanishi Y
    BMC Syst Biol; 2013; 7 Suppl 6(Suppl 6):S3. PubMed ID: 24564870
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Analysis of Protein-Protein Functional Associations by Using Gene Ontology and KEGG Pathway.
    Yuan F; Pan X; Chen L; Zhang YH; Huang T; Cai YD
    Biomed Res Int; 2019; 2019():4963289. PubMed ID: 31396531
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Exploring the relationship between hub proteins and drug targets based on GO and intrinsic disorder.
    Fu Y; Guo Y; Wang Y; Luo J; Pu X; Li M; Zhang Z
    Comput Biol Chem; 2015 Jun; 56():41-8. PubMed ID: 25854804
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Prediction of lysine ubiquitination with mRMR feature selection and analysis.
    Cai Y; Huang T; Hu L; Shi X; Xie L; Li Y
    Amino Acids; 2012 Apr; 42(4):1387-95. PubMed ID: 21267749
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Computational Identification and Analysis of Ubiquinone-Binding Proteins.
    Lu C; Jiang W; Wang H; Jiang J; Ma Z; Wang H
    Cells; 2020 Feb; 9(2):. PubMed ID: 32102444
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Predicting protein oxidation sites with feature selection and analysis approach.
    Niu S; Hu LL; Zheng LL; Huang T; Feng KY; Cai YD; Li HP; Li YX; Chou KC
    J Biomol Struct Dyn; 2012; 29(6):650-8. PubMed ID: 22545996
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. Identification of human protein complexes from local sub-graphs of protein-protein interaction network based on random forest with topological structure features.
    Li ZC; Lai YH; Chen LL; Zhou X; Dai Z; Zou XY
    Anal Chim Acta; 2012 Mar; 718():32-41. PubMed ID: 22305895
    [TBL] [Abstract][Full Text] [Related]  

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