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Verified Commit ef3d1bb3 authored by Laurent Modolo's avatar Laurent Modolo
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update img path

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......@@ -3,8 +3,6 @@ pages:
image: rocker/r-rmd
script:
- mkdir -p public/img
- ls -l
- pwd
- make
- cp 1_scrnaseq_data/scrnaseq_data.pdf 2_normalization/normalization.pdf 3_dimension_reduction/dimension_reduction.pdf 4_clustering/clustering.pdf 5_pseudo_time/pseudo_time.pdf 6_dea/dea.pdf public/
artifacts:
......
......@@ -789,8 +789,7 @@ Do we keep reads mapping after the annotated 3' UTR ?
\begin{columns}
\column{0.65\textwidth}
\begin{center}
\includegraphics[width=\textwidth]{img/discared_reads.png
}
\includegraphics[width=\textwidth]{img/discared_reads.png}
\end{center}
\column{0.35\textwidth}
{\bf Your best marker genes could be in the small percent of genes lost}
......@@ -803,8 +802,7 @@ Why bother ?
\vspace{-1.5em}
\begin{center}
\includegraphics[width=.8\textwidth]{img/full_length_vs_3prim.png
}
\includegraphics[width=.8\textwidth]{img/full_length_vs_3prim.png}
\end{center}
# Quantification
......
......@@ -369,25 +369,28 @@ When we have a scRNASeq time serie we want:
## Waddington OT
### Finding the best cell coupling
\begin{center}
\href{olivier gandrillon}{
\includegraphics[width=0.5\textwidth]{img/coupling_1.png}
\includegraphics[width=0.4\textwidth]{img/coupling_1.png}
}
\end{center}
## Waddington OT
### Finding the best cell coupling
\begin{center}
\href{olivier gandrillon}{
\includegraphics[width=0.5\textwidth]{img/coupling_2.png}
\includegraphics[width=0.4\textwidth]{img/coupling_2.png}
}
\end{center}
## Waddington OT
### Finding the best cell coupling
\begin{center}
\href{olivier gandrillon}{
\includegraphics[width=0.5\textwidth]{img/coupling_3.png}
\includegraphics[width=0.4\textwidth]{img/coupling_3.png}
}
\end{center}
......
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