From 315335e91ac3c7434286cb047d815084e4ceec8f Mon Sep 17 00:00:00 2001 From: Arity-T Date: Thu, 31 Oct 2024 10:54:33 +0300 Subject: [PATCH] =?UTF-8?q?=D0=A1=D1=80=D0=B0=D0=B2=D0=BD=D0=B5=D0=BD?= =?UTF-8?q?=D0=B8=D0=B5=20=D0=B8=D1=81=D0=BF=D0=BE=D0=BB=D1=8C=D0=B7=D1=83?= =?UTF-8?q?=D0=B5=D0=BC=D1=8B=D1=85=20=D0=B0=D0=BB=D0=B3=D0=BE=D1=80=D0=B8?= =?UTF-8?q?=D1=82=D0=BC=D0=BE=D0=B2?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- report.tex | 22 ++++++++++++++++++++++ 1 file changed, 22 insertions(+) diff --git a/report.tex b/report.tex index a962f99..59acbe3 100644 --- a/report.tex +++ b/report.tex @@ -189,6 +189,28 @@ \end{tabularx} \end{table} + \newpage + \begin{table}[h!] + \centering + \caption{Machine learning algorithms comparision.} + \footnotesize + \begin{tabularx}{\textwidth}{|p{3cm}|c|c|c|c|c|c|c|X|c|c|} + \hline + \textbf{Article} & \textbf{DT} & \textbf{NB} & \textbf{KNN} & \textbf{SVM} & \textbf{NN} & \textbf{LASSO} & \textbf{RF} & \textbf{PCA-LDA} & \textbf{XGB} & \textbf{GLM} \\ + \hline + Classification of paclitaxel-resistant ovarian cancer cells using holographic flow cytometry through interpretable machine learning~\cite{paclitaxel} & + & + & + & + & + & & & & & \\ + \hline + Heterogeneity of computational pathomic signature predicts drug resistance and intra-tumor heterogeneity of ovarian cancer~\cite{heterogeneity} & & & & & & + & & & & \\ + \hline + Mitochondria-related chemoradiotherapy resistance genes-based machine learning model associated with immune cell infiltration on the prognosis of esophageal cancer and its value in pan-cancer~\cite{mitochondria} & & & + & + & + & + & + & & + & + \\ + \hline + Molecular separation-assisted label-free SERS combined with machine learning for nasopharyngeal cancer screening and radiotherapy resistance prediction~\cite{sers} & & & & & & & & + & & \\ + \hline + \end{tabularx} + \end{table} + + % & \textbf{PCA-LDA} + \newpage \begin{table}[h!]