Imported highlightoptionalarg in md file

Author: kjaisingh

website/docs/modules/generate_batch_metrics.md

@@ -5,6 +5,8 @@ sidebar_position: 6
 slug: gbm
 ---
 
+import { Highlight, HighlightOptionalArg } from "@site/src/components/highlight.js"
+
 [WDL source code](https://github.com/broadinstitute/gatk-sv/blob/main/wdl/GenerateBatchMetrics.wdl)
 
 Analyzes variants for RD, BAF, PE, and SR evidence and creates a table of metrics containing raw and statistical 
@@ -66,10 +68,10 @@ Family structures and sex assignments determined in [EvidenceQC](./eqc). See [PE
 
 #### <HighlightOptionalArg>Optional</HighlightOptionalArg> `outlier_sample_ids`
 Provide a file containing sample IDs, delimited by new lines, to exclude from the generation of batch metrics - 
-this should can be based on outlier samples identified during sample QC that are still retained in the cohort. If 
-provided, the workflow discards any outlier samples from being considered as part of the called samples when 
-calculating metrics at a given site, as long as non-outlier samples are also called for that site. It does the 
-same for the set of background samples considered in the metric calculations for a given site.
+this should can be based on outlier samples identified following [EvidenceQC](./eqc) that are still retained in 
+the cohort. If provided, the workflow discards any outlier samples from being considered as part of the called 
+samples when calculating metrics at a given site, as long as non-outlier samples are also called for that site. 
+It does the same for the set of background samples considered in the metric calculations for a given site.
 
 ## Outputs
 

website/docs/modules/train_gcnv.md

@@ -73,8 +73,8 @@ Provide one of these inputs to subset the input batch. `n_samples_subsample` wil
 
 #### <HighlightOptionalArg>Optional</HighlightOptionalArg> `outlier_sample_ids`
 Provide a file containing sample IDs, delimited by new lines, to exclude from the from the gCNV model training 
-process - this should can be based on outlier samples identified during sample QC that are still retained in the 
-cohort.
+process - this should can be based on outlier samples identified following [EvidenceQC](./eqc) that are still 
+retained in the cohort.
 
 ## Outputs