ADD luminex doe figure

tex/thesis.tex

@@ -1946,6 +1946,29 @@ provide these benefits.
 
 \subsection{study design}
 
+\begin{figure*}[ht!]
+  \begingroup
+
+  \includegraphics{../figures/modeling_overview.png}
+  \phantomsubcaption\label{fig:mod_overview_flow}
+  \phantomsubcaption\label{fig:mod_overview_doe}
+
+  \endgroup
+  \caption[Modeling Overview]
+  {Overview of modeling experiments.
+    \subcap{fig:mod_overview_flow}{Relationship
+      between \gls{doe} experiments and AI driven prediction. \glspl{doe} will
+      be used to determine optimal process input conditions, and longitudinal
+      multiomics data will be used to fit predictive models. Together, these
+      will reveal predictive species that may be used for \glspl{cqa} and
+      \glspl{cpp}.}
+    \subcap{fig:mod_overview_doe}{Overview of the two \gls{doe} experiments; the
+      initial \gls{doe} is given by the blue points and the augmented \gls{doe}
+      is given by the blue points.}
+  }
+  \label{fig:mod_overview}
+\end{figure*}
+
 The first DOE resulted in a randomized 18-run I-optimal custom design where each
 DMS parameter was evaluated at three levels: IL2 concentration (10, 20, and 30
 U/uL), DMS concentration (500, 1500, 2500 carrier/uL), and functionalized
@@ -2206,29 +2229,6 @@ Venn diagram from the venn R package.
   \input{../tables/doe_runs.tex}
 \end{table}
 
-\begin{figure*}[ht!]
-  \begingroup
-
-  \includegraphics{../figures/modeling_overview.png}
-  \phantomsubcaption\label{fig:mod_overview_flow}
-  \phantomsubcaption\label{fig:mod_overview_doe}
-
-  \endgroup
-  \caption[Modeling Overview]
-  {Overview of modeling experiments.
-    \subcap{fig:mod_overview_flow}{Relationship
-      between \gls{doe} experiments and AI driven prediction. \glspl{doe} will
-      be used to determine optimal process input conditions, and longitudinal
-      multiomics data will be used to fit predictive models. Together, these
-      will reveal predictive species that may be used for \glspl{cqa} and
-      \glspl{cpp}.}
-    \subcap{fig:mod_overview_doe}{Overview of the two \gls{doe} experiments; the
-      initial \gls{doe} is given by the blue points and the augmented \gls{doe}
-      is given by the blue points.}
-  }
-  \label{fig:mod_overview}
-\end{figure*}
-
 \begin{figure*}[ht!]
   \begingroup
 
@@ -2269,6 +2269,17 @@ Venn diagram from the venn R package.
 % TODO this section header sucks
 \subsection{AI modeling reveals highly predictive species}
 
+\begin{figure*}[ht!]
+  \begingroup
+
+  \includegraphics{../figures/doe_luminex.png}
+
+  \endgroup
+  \caption[Cytokine release profile of T cells from DOE]
+  {T cells show robust and varying cytokine responses over time}
+  \label{fig:doe_luminex}
+\end{figure*}
+
 Due to the heterogeneity of the multivariate data collected and knowing that no
 single model structure is perfect for all applications, we implemented an
 agnostic modeling approach to better understand these TN+TCM responses. To