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Journal Abstract Search

194 related items for PubMed ID: 24466248

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  • 3. Cross-organism learning method to discover new gene functionalities.
    Domeniconi G, Masseroli M, Moro G, Pinoli P.
    Comput Methods Programs Biomed; 2016 Apr; 126():20-34. PubMed ID: 26724853
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  • 5. A new computational strategy for predicting essential genes.
    Cheng J, Wu W, Zhang Y, Li X, Jiang X, Wei G, Tao S.
    BMC Genomics; 2013 Dec 21; 14():910. PubMed ID: 24359534
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  • 6. Prediction of essential genes in prokaryote based on artificial neural network.
    Xu L, Guo Z, Liu X.
    Genes Genomics; 2020 Jan 21; 42(1):97-106. PubMed ID: 31736009
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  • 8. An integrated machine-learning model to predict prokaryotic essential genes.
    Deng J.
    Methods Mol Biol; 2015 Jan 21; 1279():137-51. PubMed ID: 25636617
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    ; 2004 Jan 21. PubMed ID: 33001599
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  • 13. Predicting essential genes in prokaryotic genomes using a linear method: ZUPLS.
    Song K, Tong T, Wu F.
    Integr Biol (Camb); 2014 Apr 21; 6(4):460-9. PubMed ID: 24603751
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  • 14. Prediction of essential proteins based on gene expression programming.
    Zhong J, Wang J, Peng W, Zhang Z, Pan Y.
    BMC Genomics; 2013 Apr 21; 14 Suppl 4(Suppl 4):S7. PubMed ID: 24267033
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  • 15. Network-based features enable prediction of essential genes across diverse organisms.
    Azhagesan K, Ravindran B, Raman K.
    PLoS One; 2018 Apr 21; 13(12):e0208722. PubMed ID: 30543651
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  • 16. CodingQuarry: highly accurate hidden Markov model gene prediction in fungal genomes using RNA-seq transcripts.
    Testa AC, Hane JK, Ellwood SR, Oliver RP.
    BMC Genomics; 2015 Mar 11; 16(1):170. PubMed ID: 25887563
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  • 20. An Evaluation of Machine Learning Approaches for the Prediction of Essential Genes in Eukaryotes Using Protein Sequence-Derived Features.
    Campos TL, Korhonen PK, Gasser RB, Young ND.
    Comput Struct Biotechnol J; 2019 Mar 11; 17():785-796. PubMed ID: 31312416
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