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The Depth Problem: Identifying the Most Representative Units in a Data Group
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Itziar Irigoien,Francesc Mestres,Concepcion Arenas
Issue Date:January 2013
pp. 161-172
This paper presents a solution to the problem of how to identify the units in groups or clusters that have the greatest degree of centrality and best characterize each group. This problem frequently arises in the classification of data such as types of tum...
 
Microarray Time Course Experiments: Finding Profiles
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Itziar Irigoien, Sergi Vives, ConcepciĆ³n Arenas
Issue Date:March 2011
pp. 464-475
Time course studies with microarray techniques and experimental replicates are very useful in biomedical research. We present, in replicate experiments, an alternative approach to select and cluster genes according to a new measure for association between ...
 
The Depth Problem: Identifying the Most Representative Units in a Data Group
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Concepcion Arenas, Francesc Mestres, Itziar Irigoien
Issue Date:January 2013
pp. 161-172
This paper presents a solution to the problem of how to identify the units in groups or clusters that have the greatest degree of centrality and best characterize each group. This problem frequently arises in the classification of data such as types of tum...
     
Microarray Time Course Experiments: Finding Profiles
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Concepcion Arenas, Itziar Irigoien, Sergi Vives
Issue Date:March 2011
pp. 464-475
Time course studies with microarray techniques and experimental replicates are very useful in biomedical research. We present, in replicate experiments, an alternative approach to select and cluster genes according to a new measure for association between ...
     
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