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Fuzzy C-means method for clustering microarray data
Fuzzy C-means method for clustering microarray data
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Fuzzy C-means method for clustering microarray data

Dembélé, Doulaye ; Kastner, Philippe

Bioinformatics, 2003-05, Vol.19 (8), p.973-980 [Peer Reviewed Journal]

Oxford: Oxford University Press

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2
Prediction of protein subcellular locations using fuzzy k-NN method
Prediction of protein subcellular locations using fuzzy k-NN method
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Prediction of protein subcellular locations using fuzzy k-NN method

Huang, Ying ; Li, Yanda

Bioinformatics, 2004-01, Vol.20 (1), p.21-28 [Peer Reviewed Journal]

Oxford: Oxford University Press

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3
Fuzzy J-Means and VNS methods for clustering genes from microarray data
Fuzzy J-Means and VNS methods for clustering genes from microarray data
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Fuzzy J-Means and VNS methods for clustering genes from microarray data

Belacel, Nabil ; Čuperlović-Culf, Miroslava ; Laflamme, Mark ; Ouellette, Rodney

Bioinformatics, 2004-07, Vol.20 (11), p.1690-1701 [Peer Reviewed Journal]

Oxford: Oxford University Press

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4
Detecting clusters of different geometrical shapes in microarray gene expression data
Detecting clusters of different geometrical shapes in microarray gene expression data
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Detecting clusters of different geometrical shapes in microarray gene expression data

Kim, Dae-Won ; Lee, Kwang H. ; Lee, Doheon

Bioinformatics, 2005-05, Vol.21 (9), p.1927-1934 [Peer Reviewed Journal]

Oxford: Oxford University Press

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5
A heuristic fuzzy logic approach to EMG pattern recognition for multifunctional prosthesis control
A heuristic fuzzy logic approach to EMG pattern recognition for multifunctional prosthesis control
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A heuristic fuzzy logic approach to EMG pattern recognition for multifunctional prosthesis control

Ajiboye, A.B. ; Weir, R.Fff

IEEE transactions on neural systems and rehabilitation engineering, 2005-09, Vol.13 (3), p.280-291 [Peer Reviewed Journal]

United States: IEEE

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6
Fuzzy logic in medicine and bioinformatics
Fuzzy logic in medicine and bioinformatics
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Fuzzy logic in medicine and bioinformatics

Torres, Angela ; Nieto, Juan J

BioMed research international, 2006, Vol.2006 (2), p.91908-91908 [Peer Reviewed Journal]

United States: Hindawi Limited

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7
Towards clustering of incomplete microarray data without the use of imputation
Towards clustering of incomplete microarray data without the use of imputation
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Towards clustering of incomplete microarray data without the use of imputation

Kim, Dae-Won ; Lee, Ki-Young ; Lee, Kwang H. ; Lee, Doheon

Bioinformatics, 2007-01, Vol.23 (1), p.107-113 [Peer Reviewed Journal]

Oxford: Oxford University Press

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8
Characterization of Surface EMG Signal Based on Fuzzy Entropy
Characterization of Surface EMG Signal Based on Fuzzy Entropy
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Characterization of Surface EMG Signal Based on Fuzzy Entropy

Chen, Weiting ; Wang, Zhizhong ; Xie, Hongbo ; Yu, Wangxin

IEEE transactions on neural systems and rehabilitation engineering, 2007-06, Vol.15 (2), p.266-272 [Peer Reviewed Journal]

United States: IEEE

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9
A Multi-Scale Flood Monitoring System Based on Fully Automatic MODIS and TerraSAR-X Processing Chains
A Multi-Scale Flood Monitoring System Based on Fully Automatic MODIS and TerraSAR-X Processing Chains
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A Multi-Scale Flood Monitoring System Based on Fully Automatic MODIS and TerraSAR-X Processing Chains

Martinis, Sandro ; Twele, André ; Strobl, Christian ; Kersten, Jens ; Stein, Enrico

Remote sensing (Basel, Switzerland), 2013-11, Vol.5 (11), p.5598-5619 [Peer Reviewed Journal]

Basel: MDPI AG

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10
Complexity Analysis of EMG Signals for Patients After Stroke During Robot-Aided Rehabilitation Training Using Fuzzy Approximate Entropy
Complexity Analysis of EMG Signals for Patients After Stroke During Robot-Aided Rehabilitation Training Using Fuzzy Approximate Entropy
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Complexity Analysis of EMG Signals for Patients After Stroke During Robot-Aided Rehabilitation Training Using Fuzzy Approximate Entropy

Sun, Rui ; Song, Rong ; Tong, Kai-yu

IEEE transactions on neural systems and rehabilitation engineering, 2014-09, Vol.22 (5), p.1013-1019 [Peer Reviewed Journal]

United States: IEEE

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