Creates a heatmap from output of integrated_gradients
function. The first row contains
the column-wise absolute sums of IG scores and the second row the sums. Rows 3 to 6 contain the IG scores for each
position and each nucleotide. The last row contains nucleotide information.
Arguments
- integrated_grads
Matrix of integrated gradient scores (output of
integrated_gradients
function).- input_seq
Input sequence for model. Should be the same as
input_seq
input for correspondingintegrated_gradients
call that computed input forintegrated_grads
argument.
Examples
if (FALSE) { # reticulate::py_module_available("tensorflow") && requireNamespace("ComplexHeatmap", quietly = TRUE)
library(reticulate)
model <- create_model_lstm_cnn(layer_lstm = 8, layer_dense = 3, maxlen = 20, verbose = FALSE)
random_seq <- sample(0:3, 20, replace = TRUE)
input_seq <- array(keras::to_categorical(random_seq), dim = c(1, 20, 4))
ig <- integrated_gradients(
input_seq = input_seq,
target_class_idx = 3,
model = model)
heatmaps_integrated_grad(integrated_grads = ig,
input_seq = input_seq)
}