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Volumn , Issue , 2010, Pages 125-130

MiRNA features for automated classification

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED CLASSIFICATION; CLASSIFICATION PERFORMANCE; FEATURE SELECTION; RANDOM FORESTS; SALIENT FEATURES;

EID: 77958157055     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SOFA.2010.5565611     Document Type: Conference Paper
Times cited : (1)

References (24)
  • 1
    • 64549116289 scopus 로고    scopus 로고
    • Micropred: Effective classification of premiRNAs for human miRNA gene prediction
    • V. Palade, R. Batuwita. micropred: Effective classification of premiRNAs for human miRNA gene prediction. Bioinformatics, 2009.
    • (2009) Bioinformatics
    • Palade, V.1    Batuwita, R.2
  • 2
    • 33846437079 scopus 로고    scopus 로고
    • Unique folding of precursor microRNAs: Quantitative evidence and implications for de novo identification
    • February
    • S. NG Kwang Loong and Santosh K Mishra. Unique folding of precursor microRNAs: Quantitative evidence and implications for de novo identification. RNA, 13(2):170-187, February 2007.
    • (2007) RNA , vol.13 , Issue.2 , pp. 170-187
    • Loong, S.N.G.K.1    Mishra, S.K.2
  • 3
    • 33846650507 scopus 로고    scopus 로고
    • Reliable prediction of drosha processing sites improves micro RNA gene prediction
    • S. A. Helvik, O. SmøVe, and P. S. Reliable prediction of drosha processing sites improves micro RNA gene prediction. Bioinformatics, 23(2):142-149, 2007.
    • (2007) Bioinformatics , vol.23 , Issue.2 , pp. 142-149
    • Helvik, S.A.1    Smøve, O.2    S., P.3
  • 6
    • 30344447264 scopus 로고    scopus 로고
    • Classification of real and pseudo microRNA precursors using local structure-sequence features and support vector machine
    • C. Xue, F. Li, T. He, G.-P. Liu, Y. Li, and X. Zhang. Classification of real and pseudo microRNA precursors using local structure-sequence features and support vector machine. BMC Bioinformatics, 6:310, 2005.
    • (2005) BMC Bioinformatics , vol.6 , pp. 310
    • Xue, C.1    Li, F.2    He, T.3    Liu, G.-P.4    Li, Y.5    Zhang., X.6
  • 8
    • 27844508214 scopus 로고    scopus 로고
    • Identification of clustered microRNAs using an ab initio prediction method
    • November
    • A. Sewer et al. "Identification of clustered microRNAs using an ab initio prediction method. BMC Bioinformatics, 6(1):267+, November 2005.
    • (2005) BMC Bioinformatics , vol.6 , Issue.1 , pp. 267
    • Sewer, A.1
  • 9
    • 34547596338 scopus 로고    scopus 로고
    • Mipred: Classification of real and pseudo microRNA precursors using random forest prediction model with combined features
    • July, (Web Server issue)
    • P. Jiang, H. Wu, W. Wang, W. Ma, X. Sun, and Z. Lu. Mipred: classification of real and pseudo microRNA precursors using random forest prediction model with combined features. Nucleic acids research, 35(Web Server issue), July 2007.
    • (2007) Nucleic Acids Research , vol.35
    • Jiang, P.1    Wu, H.2    Wang, W.3    Ma, W.4    Sun, X.5    Lu., Z.6
  • 12
    • 0033572893 scopus 로고    scopus 로고
    • No evidence that mRNAs have lower folding free energies than random sequences with the same dinucleotide distribution
    • c. Workman, A. Krogh. No evidence that mRNAs have lower folding free energies than random sequences with the same dinucleotide distribution. Nucleic Acids Res. 1999;27:4816-4822.
    • (1999) Nucleic Acids Res. , vol.27 , pp. 4816-4822
    • Workman, C.1    Krogh, A.2
  • 13
    • 0025264854 scopus 로고
    • The equilibrium partition function and base pair binding probabilities for RNA secondary structure
    • May
    • J. S. McCaskill. The equilibrium partition function and base pair binding probabilities for RNA secondary structure. Biopolymers, 29(6- 7):1105-1119, May 1990.
    • (1990) Biopolymers , vol.29 , Issue.6-7 , pp. 1105-1119
    • Mccaskill, J.S.1
  • 14
    • 43049115363 scopus 로고    scopus 로고
    • A novel representation of RNA secondary structure based on element-contact graphs
    • W. Shu, X. Bo, Z. Zheng, and S. Wang. A novel representation of RNA secondary structure based on element-contact graphs. BMC Bioinformatics, 9, 2008.
    • (2008) BMC Bioinformatics , vol.9
    • Shu, W.1    Bo, X.2    Zheng, Z.3    Wang, S.4
  • 19
    • 68949154557 scopus 로고    scopus 로고
    • Feature selection with ensembles, artificial variables, and redundancy elimination
    • July
    • E. Tuv, A. Borisov, G. Runger, and K Torkkola. Feature selection with ensembles, artificial variables, and redundancy elimination. Journal of Machine Learning Research, 10:1341-1366, July 2009.
    • (2009) Journal of Machine Learning Research , vol.10 , pp. 1341-1366
    • Tuv, E.1    Borisov, A.2    Runger, G.3    Torkkola, K.4
  • 21
    • 33747876113 scopus 로고    scopus 로고
    • Croce. MicroRNA-cancer connection: The beginning of a new tale
    • August
    • George A. Calin and Carlo M. Croce. MicroRNA-cancer connection: The beginning of a new tale. Cancer Res, 66(15):7390-7394, August 2006.
    • (2006) Cancer Res , vol.66 , Issue.15 , pp. 7390-7394
    • George, A.C.1    Carlo, M.2
  • 22
    • 21844477027 scopus 로고    scopus 로고
    • Human microRNA prediction through a probabilistic co-learning model of sequence and structure
    • J.-W. Nam, K-R. Shin, J. Han, Y. Lee, V. N. Kim, and B.-T.Zhang. Human microRNA prediction through a probabilistic co-learning model of sequence and structure. Nucleic Acids Research, 33(11):3570-3581, 2005.
    • (2005) Nucleic Acids Research , vol.33 , Issue.11 , pp. 3570-3581
    • Nam, J.-W.1    Shin, K.-R.2    Han, J.3    Lee, Y.4    Kim, V.N.5    Zhang, B.-t.6
  • 23
    • 34447309058 scopus 로고    scopus 로고
    • De novo SVM classification of precursor microRNAs from genomic pseudo hairpins using global and intrinsic folding measures
    • K L. S. Ng and S. Mishra. De novo SVM classification of precursor microRNAs from genomic pseudo hairpins using global and intrinsic folding measures. Bioinformatics, 23(11):1321-1330, 2007.
    • (2007) Bioinformatics , vol.23 , Issue.11 , pp. 1321-1330
    • Ng, K.L.S.1    Mishra, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.