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The modules with Zsummary scores below 2 were regarded as different modules; correspondingly, the proteins in these modules were identified as the DEPs between the two samples.
These modules were identified by a clustering approach, using the shortest path to trace regulatory relationships across genes in the network.
Transcription modules were identified by applying the Iterative Signature Algorithm to the full expression dataset comprising all conditions [20], [21].
A total of 27 modules were identified from 1255 differentially expressed transcript units (TUs) across time course, which were further classified in to four groups.
Nine modules were identified.
Forty two modules were identified.
Two distinct modules were identified (Table 3).
Network modules were identified by hierarchical clustering.
In total, 46 modules were identified.
Consensus sequences in 414 network modules were identified.
No transverse modules were identified with this method.
More suggestions(15)
nodes were identified
modes were identified
contents were identified
schedules were identified
installations were identified
cycles were identified
modules were detected
samples were identified
examples were identified
clusters were identified
modules were ported
modules were loaded
modules were extended
modules were connected
modules were measured
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