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The confusion matrix and average recognition rates of STL TSB-HMMs TSB-HMMs and MTL TSB-HMMs TSB-HMMsormed spectrogram feature are showithn Table 4, where 2 × 135 and 128 × 135 training sampowerare used for learning transformed
Two example neurons exhibiting this response feature are shown in Figure R2A,B and in Figure 7A,B of the manuscript.
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This feature is shown by different colours of the branches in the dendrogram corresponding to different functions.
Another supportive feature is shown in Table 2.
An example of this feature is shown for the mating pheromone MAP kinase Fus3.
The PI for each AIP neuron for each object feature is shown in Fig. 10.
A total of 21 features were extracted, and the description of each feature is shown in Table 2.
The selection proportion of each type of feature for the corresponding type of feature is shown in Figure 2(b).
(A ) On top, the fraction of genetic interactions over all gene pairs (at FDR 0.01) for each feature is shown.
The coefficient plot corresponding to the degree of differential abundance of each feature is shown in Figure 1d.
The features are shown in Table 1.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com