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text-decoration: underline;
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}
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/* Examples tab styles */
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.examples-container {
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max-width: 800px;
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margin: 0 auto;
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}
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.example-card {
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background-color: #f8f9fa;
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border-radius: 8px;
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padding: 20px;
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margin-bottom: 20px;
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box-shadow: 0 2px 4px rgba(0,0,0,0.05);
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}
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.example-title {
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font-size: 20px;
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font-weight: 600;
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margin-bottom: 15px;
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color: #333;
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}
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.example-description {
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margin-bottom: 15px;
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color: #555;
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line-height: 1.5;
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}
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.example-links {
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display: flex;
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gap: 15px;
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}
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.example-link {
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display: inline-block;
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padding: 8px 16px;
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background-color: #007bff;
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color: white;
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text-decoration: none;
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border-radius: 4px;
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font-size: 14px;
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transition: background-color 0.3s;
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}
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.example-link:hover {
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background-color: #0056b3;
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}
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.faq-section {
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padding: 20px;
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max-width: 800px;
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<div class="tabs">
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<button class="tab-button active" onclick="switchTab('home')">Home</button>
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<button class="tab-button" onclick="switchTab('tab1')">Gene Set Annotation</button>
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<button class="tab-button" onclick="switchTab('Examples')">Examples</button>
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<button class="tab-button" onclick="switchTab('tab2')">FAQ</button>
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</div>
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<div id="geneSetResults"></div>
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</div>
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<!-- Examples Tab (New) -->
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<div id="Examples" class="tab-content">
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<div class="examples-container">
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<h2>Example Results Comparison</h2>
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<p class="tab-description">
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Compare the results of traditional Over-Representation Analysis (ORA) with our Immune Cell Knowledge Graph (ICKG) approach on several gene sets.
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Click on the links to view detailed results for each example.
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</p>
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<div class="example-card">
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<h3 class="example-title">CD4 Unassigned Gene Set</h3>
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<p class="example-description">
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This example shows the pathway analysis results for CD4 T cell unassigned gene set. ICKG results provide more cell type specific and literature-backed pathway associations compared to traditional ORA.
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</p>
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<div class="example-links">
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<a href="/view-csv?file=/home/chloehe1129/immune-network/CD4_un1_ora.csv" class="example-link">ORA Results</a>
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<a href="/view-csv?file=/home/chloehe1129/immune-network/CD4_un1.csv" class="example-link">ICKG Results</a>
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</div>
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</div>
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<div class="example-card">
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<h3 class="example-title">CD4 Dysfunction Gene Set</h3>
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<p class="example-description">
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Analysis of genes associated with CD4 T cell dysfunction. The ICKG approach reveals functional relationships backed by literature evidence, highlighting immune checkpoint pathways and exhaustion markers.
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</p>
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<div class="example-links">
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<a href="/view-csv?file=/home/chloehe1129/immune-network/CD4_dys_ora.csv" class="example-link">ORA Results</a>
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<a href="/view-csv?file=/home/chloehe1129/immune-network/CD4_dys.csv" class="example-link">ICKG Results</a>
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</div>
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</div>
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<div class="example-card">
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<h3 class="example-title">CD8 Unassigned Gene Set</h3>
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<p class="example-description">
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Pathway analysis for CD8 T cell unassigned gene set, demonstrating how ICKG can identify relevant biological pathways that may be missed by traditional ORA approaches.
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</p>
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<div class="example-links">
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<a href="/view-csv?file=/home/chloehe1129/immune-network/CD8_un1_ora.csv" class="example-link">ORA Results</a>
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<a href="/view-csv?file=/home/chloehe1129/immune-network/CD8_un1.csv" class="example-link">ICKG Results</a>
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</div>
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</div>
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<div class="example-card">
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<h3 class="example-title">CD8 Chromatin Gene Set</h3>
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<p class="example-description">
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This example shows analysis of chromatin-associated genes in CD8 T cells. ICKG analysis reveals specific functional relationships related to epigenetic regulation and its impact on T cell function.
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</p>
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<div class="example-links">
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<a href="/view-csv?file=/home/chloehe1129/immune-network/CD4_chromatin_ora.csv" class="example-link">ORA Results</a>
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<a href="/view-csv?file=/home/chloehe1129/immune-network/CD8_chromatin.csv" class="example-link">ICKG Results</a>
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</div>
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</div>
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</div>
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</div>
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<div id="tab2" class="tab-content">
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<div class="faq-section">
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<h2 class="text-2xl font-bold mb-6">Frequently Asked Questions</h2>

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