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~person:"Selinski, Silvia"
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Search: subject:"Clustering methods"
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GENICA
2
cluster analysis
2
clustering clustering methods
2
similarity
2
single nucleotide polymorphism
2
sporadic breast cancer
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Selinski, Silvia
Wogrolly, Axel
3
Audoly, Richard
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Bernardi, Enrico
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Csernel, Marc
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De A. T. De Carvalho, Francisco
2
Falangi, Federico
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Gaudecker, Hans-Martin von
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Ickstadt, Katja
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McGee, Rory
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Mohammadzadeh, Mehdi
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Mousavi, Atefeh
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Müller, Tina
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Ocampo Díaz, Sergio
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Paz Pardo, Gonzalo
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Perote, Javier
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Perote-Peña, Juan
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Zare, Hossein
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ANDRIANAMPIARIVO, Tsiry
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Andrianampiarivo, Tsiry
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BONNEFOND, Céline
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Bagnato, Luca
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Bakass, Fatima
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Bender, Micha
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Brida, Juan Gabriel
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CLEMENT, Matthieu
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COMBARNOUS, François
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Caputo, Andrea
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Carrera, Edgar J. S.
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Cincera, Michele
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Coelho, Ana
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Dabić, Marina
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Daoudim, Fouzia
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Dias, José
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Dias, José G.
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Edelstein, Barak
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Fontane, Darrell
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Garces, Edwin
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Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund
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Technical Report
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Technical Reports / Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund
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EconStor
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Cluster Analysis : A Comparison of Different Similarity Measures for SNP Data
Ickstadt, Katja
;
Selinski, Silvia
;
Müller, Tina
-
Institut für Wirtschafts- und Sozialstatistik, …
-
2005
SNP data. Furthermore, we compare the resulting partitions with each other adapting the clustering of
clustering
methods
…
Persistent link: https://www.econbiz.de/10009216898
Saved in:
2
Cluster Analysis : A Comparison of Different Similarity Measures for SNP Data
Ickstadt, Katja
;
Selinski, Silvia
;
Müller, Tina
-
2005
SNP data. Furthermore, we compare the resulting partitions with each other adapting the clustering of
clustering
methods
…
Persistent link: https://www.econbiz.de/10010296676
Saved in:
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