format_activation_motifs: Find maximally-activating sequences for motif plotting.
In mPloenzke/learnMotifs: Learn Nucleotide Motifs via Convolutions

Description Usage Arguments Value Author(s)

Find the sequeneces which maximally activate (maximially cross-correlated with) the filters and format to a list with named rows for plotting with plot_motifs.

1 2	format_activation_motifs(activations, test_seqs, filter_len, method, threshold)

`activations`	4-D array of activation values per filter.
`test_seqs`	Data to extract nucleotide sequences from. Must be a character array.
`filter_len`	Length of the sequence motif to extract; the length of the convolutional filters.
`method`	Either `'alipinahi'` (extract the sequences with activation greater than `threshold*max_activation`), `'max-pooled'` (extract the sequences which gave rise to the max-pooled value), or `'quantile'` (extract the sequences with activation greater than `quantile(activations,probs=threshold)`.
`threshold`	Threshold above which to extract sequences.