ADD figs to aim 2a

This commit is contained in:
Nathan Dwarshuis 2021-07-26 15:47:11 -04:00
parent e329f072db
commit 4682a2693e
4 changed files with 10283 additions and 1 deletions

2660
figures/doe_responses.svg Normal file

File diff suppressed because it is too large Load Diff

After

Width:  |  Height:  |  Size: 152 KiB

5980
figures/modeling_flower.svg Normal file

File diff suppressed because it is too large Load Diff

After

Width:  |  Height:  |  Size: 442 KiB

File diff suppressed because it is too large Load Diff

After

Width:  |  Height:  |  Size: 113 KiB

View File

@ -1550,6 +1550,77 @@ provide these benefits.
\section{introduction} \section{introduction}
\section{methods} \section{methods}
\section{results} \section{results}
\subsection{DOE shows optimal conditions for expanded potent T cells}
\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
\includegraphics{../figures/doe_responses.png}
\phantomsubcaption\label{fig:doe_responses_mem}
\phantomsubcaption\label{fig:doe_responses_cd4}
\endgroup
\caption[T cell optimization through Design of Experiments]
{\gls{doe} methodology reveals optimal conditions for expanding T cell
subsets. Responses vs IL2 concentration, \gls{dms} concentration, and
functional \gls{mab} percentage are shown for
\subcap{fig:doe_responses_mem}{total \ptmem{} T cells} and
\subcap{fig:doe_responses_cd4}{total \pth{} T cells}. Each point represents
one run.
}
\label{fig:doe_responses}
\end{figure*}
% DOE regression tables
% TODO this section header sucks
\subsection{AI modeling reveals highly predictive species}
% model summary table
\begin{figure*}[ht!]
\begingroup
\includegraphics{../figures/modeling_flower.png}
\phantomsubcaption\label{fig:mod_flower_48r}
\phantomsubcaption\label{fig:mod_flower_cd4}
\endgroup
\caption[Data-Driven \gls{cqa} identification]
{Data-driven modeling using techniques with regularization reveals species
predictive species which are candidates for \glspl{cqa}. Flower plots are
shown for \subcap{fig:mod_flower_48r}{CD4:CD8 ratio} and
\subcap{fig:mod_flower_cd4}{total \ptmemh{} cells}. The left and right
columns includes models that were trained only on the secretome and
metabolome respectively. Each flower on each plot represents one model,
moving toward the center indicates higher agreement between models.}
\label{fig:mod_flower}
\end{figure*}
\section{discussion} \section{discussion}
\chapter{aim 2b}\label{aim2b} \chapter{aim 2b}\label{aim2b}
@ -1615,7 +1686,6 @@ between survival groups.
\label{fig:mouse_dosing_overview} \label{fig:mouse_dosing_overview}
\end{figure*} \end{figure*}
\begin{table}[!h] \centering \begin{table}[!h] \centering
\caption{Results for \gls{car} T cell \invivo{} dose study} \caption{Results for \gls{car} T cell \invivo{} dose study}
\label{tab:mouse_dosing_results} \label{tab:mouse_dosing_results}