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Fig. 5 | BMC Bioinformatics

Fig. 5

From: Transformer-based tool recommendation system in Galaxy

Fig. 5

The self-attention weights for a tool sequence, read from left to right on the horizontal axis or top to bottom on the vertical axis and used for performing differential expression analysis, are shown. It is seen that tools such as trimmomatic [45], hisat2 [46], featurecounts [47] and deseq2 [48] are more correlated to each other compared to the text formatting tools such as “join1” or “filter1”

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