Ancora update traduzioni
This commit is contained in:
Samuele E. Locatelli
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<%@ Page Title="" Language="C#" MasterPageFile="~/Site.Master" AutoEventWireup="true" CodeBehind="DB_INPUT.aspx.cs" Inherits="WebLCP.DB_INPUT" %>
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<%@ Page Title="" Language="C#" MasterPageFile="~/SiteContained.Master" AutoEventWireup="true" CodeBehind="DB_INPUT.aspx.cs" Inherits="WebLCP.DB_INPUT" %>
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<asp:Content ID="Content1" ContentPlaceHolderID="MainContent" runat="server">
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<div class="card">
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@@ -49,15 +49,42 @@
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<dl>
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<dt>DB INPUT file spec</dt>
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<dd>- data must be given in anonymous form</dd>
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<dd>- file format: csv</dd>
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<dd>- field separator: <b>;</b></dd>
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<dd>- file format: csv (excel: <b>save as</b> csv file)</dd>
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<dd>- field separator: <b>;</b> (semicolon)</dd>
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</dl>
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<b>NB:</b> <u>output layout is optimized for variables within range [-100...100], if you have variable with a different range consider to rescale it.</u>
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</div>
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</div>
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</div>
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<div class="card-footer">
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<i>Esempio file scaricabile:
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<div class="row">
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<div class="col-8">
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<i>Download reference Demo File:
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<asp:HyperLink runat="server" ID="hlFile" NavigateUrl="~/demoFiles/DB_INPUT.csv" Target="_blank">DB_INPUT.csv</asp:HyperLink></i>
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<div class="mt-2">
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<i>example:</i>
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<pre>
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AGE_years;GENDER_0f_1m;APOE_category_pos_neg;VARIABLE2
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72;0;pos;1,21875
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72;0;neg;4,339901478
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77;1;pos;1,186363636
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74;0;pos;0,554098361
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69;0;pos;0,835877863
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77;0;neg;3,495176849
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84;0;pos;4,65034965
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71;1;pos;0,375328084
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57;1;pos;2,218232044
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68;0;pos;1,03465982
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64;0;neg;3,208791209
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67;0;neg;0,871118012
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</pre>
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</div>
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</div>
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<div class="col-4">
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<img src="Images/DB_INPUT_demo.png" class="img-fluid" width="320px" />
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</div>
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</div>
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</div>
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</div>
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</asp:Content>
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@@ -3,31 +3,47 @@
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<asp:Content ID="Content1" ContentPlaceHolderID="MainContent" runat="server">
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<div class="card">
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<div class="card-header bg-success">
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<h3>Note esplicative algoritmo</h3>
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<div class="card-header bg-dark text-light">
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<div class="row">
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<div class="col-9">
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<h2>USER MANUAL</h2>
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</div>
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<div class="col-3 text-right p-0">
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<img src="../Images/brain.jpg" class="img-fluid" width="128" />
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</div>
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</div>
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</div>
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<div class="card-body">
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<h5>L'algoritmo</h5>
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<dl>
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<dt><b>Descrizione punti salienti</b></dt>
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<dd>- l'algoritmo effettua anilisi statistiche di calssificazione e clustering</dd>
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<dd>- ...</dd>
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</dl>
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<h5>Output</h5>
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<dl>
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<dt><b>Output atteso</b></dt>
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<dd>- viene prodotto un file pdf con grafici esplicativi dei risultati dell'algoritmo</dd>
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<dd>- viene salvato un file in formato testuale con i risutlati del calcolo svolto (...)</dd>
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<dd>- ...</dd>
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</dl>
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<h5>I dati</h5>
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<dl>
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<dt><b>Modalità di archiviazione dati</b></dt>
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<dd>- i dati sono salvati in forma anonima</dd>
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<dd>- i dati sono archiviati sui server in modo temporaneo, tale da permettere di scaricare i risultati dell'elaborazione ma non la persistenza</dd>
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<dd>- sono mostrati solo i jobs più recenti</dd>
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<dd>- i jobs sono automaticamente eliminati dalle memorie del sistema dopo 4 settimane dall'esecuzione dei calcoli</dd>
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</dl>
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<h5>AIM OF THE TOOL</h5>
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<p>The main aim is to provide a free, user-friendly on-line interface of an ad-hoc developed algorithm that evaluates the effects of genetic/demographic AD-related factors (APOE, age and sex) on the detected biomarker cut-offs. The idea is to allow people non-familiar with the R package to use this powerful instrument for improving the disease understanding and to create a platform for collaboration of different centers and researchers.</p>
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<p>The algorithm allows to:</p>
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<ol>
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<li>detect the presence of subgroup population in AD biomarkers distribution,
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</li>
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<li>to identify corresponding cut-offs that allows to classify subject/patients in terms of prognostic evaluation;
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</li>
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<li>(importantly) to evaluate the effect of genetic/demographic AD-related factors (APOE, age and sex) on the identified subgroup population, i.e. to evaluate if and how AD risk factors influence the biomarker cut-offs extraction in order to improve the prognostic evaluation.
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</li>
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</ol>
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<hr />
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<br />
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<h5>DATA USAGE AND MANAGEMENT</h5>
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Here a brief explanation of data management criteria
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<ul>
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<li>Data are saved anonimized / pseudonimized (with reference to upload user)</li>
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<li>Data are saved only temporaly on our server and just to provide enough time to process and to retrieve data</li>
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<li>only recent job submitted are shown and available to download to cope with previous non-persistence data policy</li>
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<li>jobs calculation are automatically deleted from system archive 4 week after processing</li>
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</ul>
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<hr />
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<br />
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<h5>OUTPUT</h5>
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How to read data:
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<p>....</p>
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</div>
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</div>
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</asp:Content>
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