univer-5th-semester/literature-review
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Встраивание таблицы из экселя

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Артём Тищенко
2024-11-25 12:24:58 +03:00
parent 648871dbd8
commit 6f616e25f1
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report.tex
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@@ -15,6 +15,7 @@
\usepackage{graphicx} \usepackage{graphicx}
\usepackage{pdfpages} \usepackage{pdfpages}
\usepackage{tikz}
\usepackage{array} \usepackage{array}
\usepackage{multirow} \usepackage{multirow}
@@ -188,6 +189,14 @@
In \cite{kras}, authors firstly applied machine learning algorithms to extract most important features and created seven feature lists, after that they applied four classification algorithms. Their best result was achieved with CATBoost feature list and support vector machine as classification algorithms (accuracy of 93.1\%). Also after analysing recieved feature lists authors were able to identify top genes associated with tumor progression and drug resistance (H2AFZ, CKS1B, TUBA1B, RRM2, BIRC5). In \cite{kras}, authors firstly applied machine learning algorithms to extract most important features and created seven feature lists, after that they applied four classification algorithms. Their best result was achieved with CATBoost feature list and support vector machine as classification algorithms (accuracy of 93.1\%). Also after analysing recieved feature lists authors were able to identify top genes associated with tumor progression and drug resistance (H2AFZ, CKS1B, TUBA1B, RRM2, BIRC5).
\addtocounter{table}{1}
\includepdf[pages={1}, fitpaper, pagecommand={
\thispagestyle{empty}
\begin{tikzpicture}[remember picture, overlay]
\node at (current page.north) [anchor=north, yshift=-30pt] {Table 1. Methods used in research papers.};
\end{tikzpicture}
}]{methods_table/methods.pdf}
\newpage \newpage
\begin{table}[h!] \begin{table}[h!]