Yeast Micro Data Set, available at http://arep.med.harvard.edu/network discovery, 2000.  Home/Search Document Not in Database Summary Related Articles Check |
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delta-Clusters: Capturing Subspace Correlation in a Large.. - Yang, Wang, Wang, Yu (2002) (3 citations) Self-citation (Data) (Correct)
....a subset of genes whose expression levels rise and fall coherently under a subset of conditions, that is, they exhibit fluctuation of a similar shape when conditions change. Discovery of such clusters of genes is essential in revealing the significant connections in gene regulatory networks [13]. The model of bicluster [3] was recently proposed for this purpose under the assumption that the microarray matrix is fully specified, which can be regarded as a special case of our model. From the above examples, we can see that users are interested in finding cluster of points objects that ....
....j are the number of attributes and the number of objects participating in the # cluster, respectively. Figure 4(a) shows a micro array matrix with ten genes (one for each rows) under five experiment conditions (one for each column) This example is a portion of microarry data that can be found in [13]. In this example, each object is a gene and each attribute corresponds to a condition. Each entry in the data matrix measures the strength of the gene under the corresponding experiment condition. The # cluster defined by picking I = fVPS8;EFB1;CYS3g and J = fCH1I;CH1D;CH2Bg is shown in Figure ....
[Article contains additional citation context not shown here]
Yeast Micro Data Set, available at http://arep.med.harvard.edu/network discovery, 2000.
delta-Clusters: Capturing Subspace Correlation in a Large.. - Yang, Wang, Wang, Yu (2002) (3 citations) Self-citation (Data) (Correct)
....a subset of genes whose expression levels rise and fall coherently under a subset of conditions, that is, they exhibit fluctuation of a similar shape when conditions change. Discovery of such clusters of genes is essential in revealing the significant connections in gene regulatory networks [13]. The model of bicluster [3] was recently proposed for this purpose under the assumption that the microarray matrix is fully specified, which can be regarded as a special case of our model. From the above examples, we can see that users are interested in finding cluster of points objects that ....
....are the number of attributes and the number of objects participating in the ffi cluster, respectively. Figure 4(a) shows a micro array matrix with ten genes (one for each rows) under five experiment conditions (one for each column) This example is a portion of microarry data that can be found in [13]. In this example, each object is a gene and each attribute corresponds to a condition. Each entry in the data matrix measures the strength of the gene under the corresponding experiment condition. The ffi cluster defined by picking I = fV PS8; EFB1;CY S3g and J = fCH1I ; CH1D;CH2Bg is shown in ....
[Article contains additional citation context not shown here]
Yeast Micro Data Set, available at http://arep.med.harvard.edu/network discovery, 2000.
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