ADD appendix for the meta-analysis stuff

This commit is contained in:
Nathan Dwarshuis 2021-08-02 19:06:38 -04:00
parent 5fab51b47c
commit 530339f971
1 changed files with 31 additions and 19 deletions

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@ -14,6 +14,7 @@
\usepackage{graphicx}
\usepackage{subcaption}
\usepackage{nth}
\usepackage{hyperref} % must be before cleveref
\usepackage[capitalize]{cleveref}
\usepackage[version=4]{mhchem}
\usepackage{pgfgantt}
@ -160,6 +161,7 @@
\newacronym{zfn}{ZFN}{zinc-finger nuclease}
\newacronym{talen}{TALEN}{transcription activator-like effector nuclease}
\newacronym{qbd}{QbD}{quality-by-design}
\newacronym{aws}{AWS}{amazon web services}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% SI units for uber nerds
@ -1583,18 +1585,6 @@ that were extrapolated from the standard curve were left unchanged.
\subsection{data aggregation and meta-analysis}
% TODO explain what the colors mean
\begin{figure*}[ht!]
\begingroup
\includegraphics{../figures/metaanalysis.png}
\endgroup
\caption[Meta-analysis overview]
{Overview of strategy used for meta-analysis}
\label{fig:meta_overview}
\end{figure*}
In order to perform meta-analysis on all experimental data generate using the
\gls{dms} system, we developed a program to curate and aggregate the raw
datafiles into a \gls{sql} database (\cref{fig:meta_overview}).
@ -1612,10 +1602,10 @@ experimental parameters such as the number of bead or \gls{dms} added.
To aggregate the data in a database, we wrote a program using Python, R, and
Docker which retrieved the data from its source location and inserted the data
in a Postgres database. This program included checks to ensure the integrity of
source data (for example, flagging entries which had a reagent whose
manufacturing date was after the date the experiment started, which signifies a
human input error).
in a Postgres database (specifically Aurora implementation hosted on \gls{aws}).
This program included checks to ensure the integrity of source data (for
example, flagging entries which had a reagent whose manufacturing date was after
the date the experiment started, which signifies a human input error).
\subsection{statistical analysis}\label{sec:statistics}
@ -4341,10 +4331,32 @@ expansion technology given that even in healthy donors, we observed the
\onecolumn
\clearpage
% TODO some people put appendices here....not sure if I need to
\appendix
\chapter{meta analysis database code}\label{sec:appendix_meta}
\chapter{References}
\renewcommand{\section}[2]{} % noop the original bib section header
The code used to aggregate all experimental data was written primarily in
Python, with a subprocess running R in a Docker container to handle the flow
cytometry data (\cref{fig:meta_overview}). The Postgres database itself was
hosted using \gls{aws} using their proprietary Aurora implementation.
% TODO explain what the colors mean
\begin{figure*}[ht!]
\begingroup
\includegraphics{../figures/metaanalysis.png}
\endgroup
\caption[Meta-analysis overview]
{Overview of strategy used for meta-analysis}
\label{fig:meta_overview}
\end{figure*}
The code is available here: \url{https://github.gatech.edu/ndwarshuis3/mdma}.
\chapter{reaction kinetics code}
\chapter{references}
\renewcommand{\chapter}[2]{} % noop the original bib section header
\bibliography{references}