Interpretation: ip#

TF expression#

interpretation.tf_attr(model[, idx, ...])

Compute transcription factor (TF) attribution using Integrated Gradients

interpretation.tf_to_gene(mdata, attr[, ...])

Aggregate transcription factor (TF) attributions and link them to genes for each group.

Peak accessibility#

interpretation.peak_attr(model[, idx, ...])

Compute feature attributions for peak accessibility using Integrated Gradients.

interpretation.peak_to_gene(mdata, attr[, ...])

Extracts peak-to-gene links based on the attribution of peak accessibility

Peak sequence#

interpretation.seq_attr(model[, peaks, idx, ...])

Computes sequence attribution scores using the DeepLift algorithm for a given model