enh: docs and examples updates

- combine some docs
- add progress bar for exprCellCellcom instead of verbose prints
- remove some hardcoded param defaults and add catches

NEWS.md

@@ -10,6 +10,9 @@
 * Add catch in `runPCAprojectionBatch()` for when ncp requested exceeds number of feats used
 * Make `spatCellCellcom()` respect `verbose` flag [#949](https://github.com/drieslab/Giotto/issues/949) by rbutleriii
 
+## Enhancements
+* `print()` methods for `icfObject` and `combIcfObject`
+
 ## Changes
 * require GiottoUtils (>= 0.1.9)
 

R/spatial_genes.R

@@ -4053,7 +4053,7 @@ rankSpatialCorGroups <- function(gobject,
 
 
 
-#' @title getBalancedSpatCoexpressionFeats
+#' @title Get balanced spatial coexpression features
 #' @name getBalancedSpatCoexpressionFeats
 #' @description Extract features from spatial co-expression modules in a
 #' balanced manner
@@ -4067,11 +4067,13 @@ rankSpatialCorGroups <- function(gobject,
 #' @returns balanced vector with features for each co-expression module
 #' @details There are 3 different ways of selecting features from the spatial
 #' co-expression modules
-#' \itemize{
-#'   \item{1. weighted: }{Features are ranked based on summarized pairwise co-expression scores}
-#'   \item{2. random: }{A random selection of features, set seed for reproducibility}
-#'   \item{3. informed: }{Features are selected based on prior information/ranking}
-#' }
+#'   1. **weighted:** Features are ranked based on summarized pairwise
+#'   co-expression scores
+#'   2. **random:** A random selection of features, set seed for
+#'   reproducibility
+#'   3. **informed:** Features are selected based on prior information/ranking
+#'
+#' @md
 #' @export
 getBalancedSpatCoexpressionFeats <- function(spatCorObject,
     maximum = 50,