UNIMIBThesis/Thesis.tex at master · IAL32/UNIMIBThesis · GitHub

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\documentclass[a4paper,12pt,openright]{book}
% Per gli accenti e caratteri speciali
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\graphicspath{ {./Images/} }
% Per le formule di biologia
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\usepackage{booktabs}
% Referenze
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% il tempo di compilazione
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\tikzexternalize[prefix=tikzfigures/] % activate!
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\input{config}

\pagenumbering{roman}

\lhead{E3101Q - Informatica}
\chead{}
\rhead{}
\lfoot{Dipartimento di Informatica}
\cfoot{\thepage\ }
\rfoot{\small Università degli Studi di Milano-Bicocca}

\author{Adrian David Castro Tenemaya, 816015}
\title{Università degli Studi di Milano-Bicocca \\{\small Dipartimento di Informatica \\ Corso di Informatica - E3101Q\\A.A. 2016-2019\\\vspace*{0.55in} \ }\\ Inferenza di alberi tumorali tramite Particle Swarm Optimization \vspace*{1.25in}}
\date{\today}

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\begin{document}
%%%%%%%%%%%%%%%%

% Frontespizio da https://github.com/lucach/frontespizio-unimib
\begin{titlepage}
    \noindent
    \begin{minipage}[t]{0.19\textwidth}
        \vspace{-4mm}{\includegraphics[scale=1.15]{logo_unimib.pdf}}
    \end{minipage}
    \begin{minipage}[t]{0.81\textwidth}
        \setstretch{1.42}
        \textsc{Università degli Studi di Milano - Bicocca} \\
        \textbf{Scuola di Scienze} \\
        \textbf{Dipartimento di Informatica, Sistemistica e Comunicazione} \\
        \textbf{Corso di laurea in Informatica} \\
        \par
    \end{minipage}
    \vspace{40mm}
    \begin{center}
        \large \setstretch{1.2}
        \textbf{Inferenza di alberi tumorali tramite \\ Particle Swarm Optimization}
        \par
    \end{center}
    \vspace{50mm}
    \noindent
    {\large \textbf{Relatore:} Prof. Della Vedova Gianluca } \\
    \noindent
    {\large \textbf{Co-relatore:} Dott. Ciccolella Simone}
    \vspace{15mm}
    \begin{flushright}
        {\large \textbf{Relazione della prova finale di:}} \\
        \large{Castro Tenemaya Adrian David} \\
        \large{Matricola 816015}
    \end{flushright}
    \vspace{40mm}
    \begin{center}
        {\large{\bf Anno Accademico 2018-2019}}
    \end{center}
    \restoregeometry
\end{titlepage}
% \maketitle

% \makeatletter\@openrighttrue\makeatother
\newpage
\tableofcontents

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\input{Thanks}
\input{Prefazione}
\input{Abstract}

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       \input{\FileName}%       at these points
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}

\listoffigures

\listoftables

\printbibliography

% In order to be able to reconstruct phylogenetic trees of tumors, in the last years the infinite-sites model has been used, assuming tumoral progressions as an accumulation of mutations. Recent studies using the single-cell sequencing technique show, highlighting the presence of mutation losses, how this assumption is not always true. However there is a lack of tools that are able to infer the phylogeny of genetic trees while allowing loss of mutations. In this work it is presented a new tool

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\end{document}
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