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ORFs were predicted by using the Diogenes software which was trained with ORFs from several species, thus generating multiple matrices to detect ORFs in plant sequence datasets [ 36].
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Multiple matrices were chosen to exemplify a range of complexity including: urban dust, river sediment, diesel extract, and diesel particulate matter (NIST SRMs: 1649b [ 28], 1944 [ 29], 1975 [ 30], and 1650b [ 31], respectively).
With the growing amount of taxa and sequences that are used in phylogenomics, CADM offers a simple alternative to compare multiple matrices and identify congruent data partitions.
It cannot be used to integrate multiple matrices for multiple types of variables together with prior knowledge such as networks that represent relationships among variables of the same type and/or between different types.
However, for unconnected datasets, where the number of cases doesn't match (e.g. different sample sets used for expression data and methylation data), KeyPathwayMiner was extended to accept multiple matrices.
For any given TF, there could be multiple matrices described by different independent sources, leading to multiple matches for similar position or shifting of matches by a few base pairs.
One recommendation of the ERP was to evaluate the necessity of the defatting step and also to adapt the method for multiple matrices.
As is common in large-scale studies, the LV 2011 used a balanced multiple matrix sampling design to compile the test booklets.
Other tests, such as ILD, can be modified to test for incongruence among multiple matrices.
Both heuristic information and phenomenon are described as multiple matrices and a dynamic random weighted strategy is introduced to compute selection probability.
Different approaches have been proposed to identify incongruent matrices within a set of multiple matrices; the methods and problems associated are discussed in [ 38, 71].
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