diff --git a/INTERFACE/WebLCP/DB_INPUT.aspx b/INTERFACE/WebLCP/DB_INPUT.aspx index 39c7e25..1cbebae 100644 --- a/INTERFACE/WebLCP/DB_INPUT.aspx +++ b/INTERFACE/WebLCP/DB_INPUT.aspx @@ -1,4 +1,4 @@ -<%@ Page Title="" Language="C#" MasterPageFile="~/Site.Master" AutoEventWireup="true" CodeBehind="DB_INPUT.aspx.cs" Inherits="WebLCP.DB_INPUT" %> +<%@ Page Title="" Language="C#" MasterPageFile="~/SiteContained.Master" AutoEventWireup="true" CodeBehind="DB_INPUT.aspx.cs" Inherits="WebLCP.DB_INPUT" %>
@@ -49,15 +49,42 @@
DB INPUT file spec
- data must be given in anonymous form
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- file format: csv
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- field separator: ;
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- file format: csv (excel: save as csv file)
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- field separator: ; (semicolon)
+ NB: output layout is optimized for variables within range [-100...100], if you have variable with a different range consider to rescale it.
diff --git a/INTERFACE/WebLCP/DescrCalc.aspx b/INTERFACE/WebLCP/DescrCalc.aspx index fc3fe3f..474262c 100644 --- a/INTERFACE/WebLCP/DescrCalc.aspx +++ b/INTERFACE/WebLCP/DescrCalc.aspx @@ -3,31 +3,47 @@
-
-

Note esplicative algoritmo

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USER MANUAL

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L'algoritmo
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Descrizione punti salienti
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- l'algoritmo effettua anilisi statistiche di calssificazione e clustering
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- ...
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Output
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Output atteso
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- viene prodotto un file pdf con grafici esplicativi dei risultati dell'algoritmo
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- viene salvato un file in formato testuale con i risutlati del calcolo svolto (...)
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- ...
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I dati
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Modalità di archiviazione dati
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- i dati sono salvati in forma anonima
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- i dati sono archiviati sui server in modo temporaneo, tale da permettere di scaricare i risultati dell'elaborazione ma non la persistenza
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- sono mostrati solo i jobs più recenti
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- i jobs sono automaticamente eliminati dalle memorie del sistema dopo 4 settimane dall'esecuzione dei calcoli
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AIM OF THE TOOL
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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.

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The algorithm allows to:

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  1. detect the presence of subgroup population in AD biomarkers distribution, +
  2. +
  3. to identify corresponding cut-offs that allows to classify subject/patients in terms of prognostic evaluation; +
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  5. (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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DATA USAGE AND MANAGEMENT
+ Here a brief explanation of data management criteria +
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  • Data are saved anonimized / pseudonimized (with reference to upload user)
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  • Data are saved only temporaly on our server and just to provide enough time to process and to retrieve data
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  • only recent job submitted are shown and available to download to cope with previous non-persistence data policy
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  • jobs calculation are automatically deleted from system archive 4 week after processing
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OUTPUT
+ How to read data: +

....

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diff --git a/INTERFACE/WebLCP/Images/DB_INPUT_demo.png b/INTERFACE/WebLCP/Images/DB_INPUT_demo.png new file mode 100644 index 0000000..dd127f5 Binary files /dev/null and b/INTERFACE/WebLCP/Images/DB_INPUT_demo.png differ