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Volumn 8726 LNAI, Issue PART 3, 2014, Pages 508-511

Network reconstruction for the identification of miRNA:mRNA interaction networks

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EID: 84907009890     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-662-44845-8_46     Document Type: Conference Paper
Times cited : (1)

References (4)
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    • Biclustering of Expression Data
    • Cheng, Y., Church, G.M.: Biclustering of Expression Data. In: Proc. of ISMB 2000, pp. 93-103 (2000)
    • (2000) Proc. of ISMB 2000 , pp. 93-103
    • Cheng, Y.1    Church, G.M.2
  • 2
    • 71149116739 scopus 로고    scopus 로고
    • A scalable framework for discovering coherent co-clusters in noisy data
    • Deodhar, M., Gupta, G., Ghosh, J., Cho, H., Dhillon, I.S.: A scalable framework for discovering coherent co-clusters in noisy data. In: Proc. of ICML 2009, p. 31 (2009)
    • (2009) Proc. of ICML 2009 , pp. 31
    • Deodhar, M.1    Gupta, G.2    Ghosh, J.3    Cho, H.4    Dhillon, I.S.5
  • 3
    • 84887197568 scopus 로고    scopus 로고
    • A Novel Biclustering Algorithm for the Discovery of Meaningful Biological Correlations between microRNAs and their Target Genes
    • Pio, G., Ceci, M., D'Elia, D., Loglisci, C., Malerba, D.: A Novel Biclustering Algorithm for the Discovery of Meaningful Biological Correlations between microRNAs and their Target Genes. BMC Bioinformatics 14(S-7), S8 (2013)
    • (2013) BMC Bioinformatics , vol.14 , Issue.S-7
    • Pio, G.1    Ceci, M.2    D'Elia, D.3    Loglisci, C.4    Malerba, D.5
  • 4
    • 84928649426 scopus 로고    scopus 로고
    • Integrating microRNA target predictions for the discovery of gene regulatory networks: A semi-supervised ensemble learning approach
    • Pio, G., Malerba, D., D'Elia, D., Ceci, M.: Integrating microRNA target predictions for the discovery of gene regulatory networks: a semi-supervised ensemble learning approach. BMC Bioinformatics 15(S-1), S4 (2014)
    • (2014) BMC Bioinformatics , vol.15 , Issue.S-1
    • Pio, G.1    Malerba, D.2    D'Elia, D.3    Ceci, M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.