% Generated by roxygen2: do not edit by hand

% Please edit documentation in R/visualization.R

\name{heatmaps_integrated_grad}

\alias{heatmaps_integrated_grad}

\title{Heatmap of integrated gradient scores}

\usage{

heatmaps_integrated_grad(integrated_grads, input_seq)

}

\arguments{

\item{integrated_grads}{Matrix of integrated gradient scores (output of \code{\link{integrated_gradients}} function).}

\item{input_seq}{Input sequence for model. Should be the same as \code{input_seq} input for corresponding

\code{\link{integrated_gradients}} call that computed input for \code{integrated_grads} argument.}

}

\value{

A list of heatmaps.

}

\description{

Creates a heatmap from output of \code{\link{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.

}

\examples{

\dontshow{if (reticulate::py_module_available("tensorflow")  && requireNamespace("ComplexHeatmap", quietly = TRUE)) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}

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)

\dontshow{\}) # examplesIf}

}