add missed R01 acknowledgment

[ci skip]

This build is based on
fda2f2c.

This commit was created by the following CI build and job:
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README.md

@@ -1,7 +1,7 @@
 # Output directory containing the formatted manuscript
 
 The [`gh-pages`](https://github.com/greenelab/generalization-manuscript/tree/gh-pages) branch hosts the contents of this directory at <https://greenelab.github.io/generalization-manuscript/>.
-The permalink for this webpage version is <https://greenelab.github.io/generalization-manuscript/v/c0ebf01db0fb66f8c98c5bc5b1c2a61efaf03854/>.
+The permalink for this webpage version is <https://greenelab.github.io/generalization-manuscript/v/fda2f2c905d91da32ea8a5399cfec26c0802d756/>.
 To redirect to the permalink for the latest manuscript version at anytime, use the link <https://greenelab.github.io/generalization-manuscript/v/freeze/>.
 
 ## Files
@@ -35,4 +35,4 @@ Verifying timestamps with the `ots verify` command requires running a local bitc
 ## Source
 
 The manuscripts in this directory were built from
-[`c0ebf01db0fb66f8c98c5bc5b1c2a61efaf03854`](https://github.com/greenelab/generalization-manuscript/commit/c0ebf01db0fb66f8c98c5bc5b1c2a61efaf03854).
+[`fda2f2c905d91da32ea8a5399cfec26c0802d756`](https://github.com/greenelab/generalization-manuscript/commit/fda2f2c905d91da32ea8a5399cfec26c0802d756).

index.html

@@ -7,7 +7,7 @@
   <meta name="author" content="Jake Crawford" />
   <meta name="author" content="Maria Chikina" />
   <meta name="author" content="Casey S. Greene" />
-  <meta name="dcterms.date" content="2024-11-06" />
+  <meta name="dcterms.date" content="2024-11-11" />
   <meta name="keywords" content="markdown, publishing, manubot" />
   <title>Best holdout assessment is sufficient for cancer transcriptomic model selection</title>
   <style>
@@ -52,11 +52,11 @@
   <meta name="citation_title" content="Best holdout assessment is sufficient for cancer transcriptomic model selection" />
   <meta property="og:title" content="Best holdout assessment is sufficient for cancer transcriptomic model selection" />
   <meta property="twitter:title" content="Best holdout assessment is sufficient for cancer transcriptomic model selection" />
-  <meta name="dc.date" content="2024-11-06" />
-  <meta name="citation_publication_date" content="2024-11-06" />
-  <meta property="article:published_time" content="2024-11-06" />
-  <meta name="dc.modified" content="2024-11-06T21:53:54+00:00" />
-  <meta property="article:modified_time" content="2024-11-06T21:53:54+00:00" />
+  <meta name="dc.date" content="2024-11-11" />
+  <meta name="citation_publication_date" content="2024-11-11" />
+  <meta property="article:published_time" content="2024-11-11" />
+  <meta name="dc.modified" content="2024-11-11T20:10:02+00:00" />
+  <meta property="article:modified_time" content="2024-11-11T20:10:02+00:00" />
   <meta name="dc.language" content="en-US" />
   <meta name="citation_language" content="en-US" />
   <meta name="dc.relation.ispartof" content="Manubot" />
@@ -81,9 +81,9 @@
   <meta name="citation_fulltext_html_url" content="https://greenelab.github.io/generalization-manuscript/" />
   <meta name="citation_pdf_url" content="https://greenelab.github.io/generalization-manuscript/manuscript.pdf" />
   <link rel="alternate" type="application/pdf" href="https://greenelab.github.io/generalization-manuscript/manuscript.pdf" />
-  <link rel="alternate" type="text/html" href="https://greenelab.github.io/generalization-manuscript/v/c0ebf01db0fb66f8c98c5bc5b1c2a61efaf03854/" />
-  <meta name="manubot_html_url_versioned" content="https://greenelab.github.io/generalization-manuscript/v/c0ebf01db0fb66f8c98c5bc5b1c2a61efaf03854/" />
-  <meta name="manubot_pdf_url_versioned" content="https://greenelab.github.io/generalization-manuscript/v/c0ebf01db0fb66f8c98c5bc5b1c2a61efaf03854/manuscript.pdf" />
+  <link rel="alternate" type="text/html" href="https://greenelab.github.io/generalization-manuscript/v/fda2f2c905d91da32ea8a5399cfec26c0802d756/" />
+  <meta name="manubot_html_url_versioned" content="https://greenelab.github.io/generalization-manuscript/v/fda2f2c905d91da32ea8a5399cfec26c0802d756/" />
+  <meta name="manubot_pdf_url_versioned" content="https://greenelab.github.io/generalization-manuscript/v/fda2f2c905d91da32ea8a5399cfec26c0802d756/manuscript.pdf" />
   <meta property="og:type" content="article" />
   <meta property="twitter:card" content="summary_large_image" />
   <link rel="icon" type="image/png" sizes="192x192" href="https://manubot.org/favicon-192x192.png" />
@@ -100,10 +100,10 @@ <h1 class="title">Best holdout assessment is sufficient for cancer transcriptomi
 </header>
 <p><small><em>
 This manuscript
-(<a href="https://greenelab.github.io/generalization-manuscript/v/c0ebf01db0fb66f8c98c5bc5b1c2a61efaf03854/">permalink</a>)
+(<a href="https://greenelab.github.io/generalization-manuscript/v/fda2f2c905d91da32ea8a5399cfec26c0802d756/">permalink</a>)
 was automatically generated
-from <a href="https://github.com/greenelab/generalization-manuscript/tree/c0ebf01db0fb66f8c98c5bc5b1c2a61efaf03854">greenelab/generalization-manuscript@c0ebf01</a>
-on November 6, 2024.
+from <a href="https://github.com/greenelab/generalization-manuscript/tree/fda2f2c905d91da32ea8a5399cfec26c0802d756">greenelab/generalization-manuscript@fda2f2c</a>
+on November 11, 2024.
 </em></small></p>
 <h2 id="authors">Authors</h2>
 <ul>
@@ -378,7 +378,7 @@ <h3 id="data-and-code-availability">Data and Code Availability</h3>
 All scripts are available under the open-source BSD 3-clause license.</p>
 <p>This manuscript was written using Manubot<span class="citation" data-cites="YuJbg3zO"><sup><a href="#ref-YuJbg3zO" role="doc-biblioref">56</a></sup></span> and is available on GitHub at <a href="https://github.com/greenelab/generalization-manuscript" class="uri">https://github.com/greenelab/generalization-manuscript</a> under the CC0-1.0 license.</p>
 <h2 id="acknowledgments">Acknowledgments</h2>
-<p>This research was supported in part by grants from the National Institutes of Health (R01 CA237170 and R01 HG010067).
+<p>This research was supported in part by grants from the National Institutes of Health (R01 CA237170, R01 HD109765, and R01 HG010067).
 This research was supported in part by the University of Pittsburgh Center for Research Computing through the resources provided. Specifically, this work used the HTC cluster, which is supported by NIH award number S10OD028483.</p>
 <h2 id="author-contributions">Author Contributions</h2>
 <p>JC: conceptualization, methodology, software, visualization, writing—original draft, writing—review and editing. MC: methodology, writing—review and editing. CSG: conceptualization, funding acquisition, methodology, supervision, writing—review and editing. All authors read and approved the final manuscript.</p>