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Figure 3 | BMC Bioinformatics

Figure 3

From: Probabilistic topic modeling for the analysis and classification of genomic sequences

Figure 3

Testing workflow. From the test sequences are extracted the words through the k-mer decomposition; then, by means of fitted topic models learned during the training phase, the topic distributions of test sequences are computed. Finally each sequence is assigned to its most probable topic, and, since topics have been labeled during the training phase, the predicted rank for the test sequences is obtained.

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