<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Nightingale</title><link>https://cying.org/slides/</link><description>Recent content on Nightingale</description><generator>Hugo</generator><language>en-us</language><atom:link href="https://cying.org/slides/index.xml" rel="self" type="application/rss+xml"/><item><title/><link>https://cying.org/slides/2025-04-03-litedown/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://cying.org/slides/2025-04-03-litedown/</guid><description>&lt;!DOCTYPE html>
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&lt;div class="title">&lt;h1>Making HTML Slides with the &lt;strong>litedown&lt;/strong> Package&lt;/h1>&lt;/div>
&lt;div class="author">&lt;h2>&lt;a href="https://yihui.org">Yihui Xie&lt;/a>&lt;/h2>&lt;/div>
&lt;div class="date">&lt;h3>&lt;code>{r} Sys.Date()&lt;/code>&lt;/h3>&lt;/div>
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&lt;div id="TOC">
&lt;ul class="numbered">
&lt;li>&lt;a href="#sec:get-started">&lt;span class="section-number main-number">1&lt;/span> Get started&lt;/a>&lt;/li>
&lt;li>&lt;a href="#sec:create-slides">&lt;span class="section-number main-number">2&lt;/span> Create slides&lt;/a>
&lt;ul>
&lt;li>&lt;a href="#sec:example_1">&lt;span class="section-number">2.1&lt;/span> Example (&lt;code>---&lt;/code>)&lt;/a>&lt;/li>
&lt;li>&lt;a href="#sec:example_2">&lt;span class="section-number">2.2&lt;/span> Example (&lt;code>##&lt;/code>)&lt;/a>&lt;/li>
&lt;/ul>
&lt;/li>
&lt;li>&lt;a href="#sec:keyboard-shortcuts">&lt;span class="section-number main-number">3&lt;/span> Keyboard shortcuts&lt;/a>&lt;/li>
&lt;li>&lt;a href="#sec:css-and-styling">&lt;span class="section-number main-number">4&lt;/span> CSS and styling&lt;/a>
&lt;ul>
&lt;li>&lt;a href="#sec:example-section-numbers">&lt;span class="section-number">4.1&lt;/span> Example: section numbers&lt;/a>&lt;/li>
&lt;li>&lt;a href="#sec:example-toc">&lt;span class="section-number">4.2&lt;/span> Example: TOC&lt;/a>&lt;/li>
&lt;li>&lt;a href="#sec:responsive-layout">&lt;span class="section-number">4.3&lt;/span> Responsive layout&lt;/a>&lt;/li>
&lt;li>&lt;a href="#sec:printing">&lt;span class="section-number">4.4&lt;/span> Printing&lt;/a>&lt;/li>
&lt;/ul>
&lt;/li>
&lt;li>&lt;a href="#sec:slide-attributes">&lt;span class="section-number main-number">5&lt;/span> Slide attributes&lt;/a>
&lt;ul>
&lt;li>&lt;a href="#sec:built-in-classes">&lt;span class="section-number">5.1&lt;/span> Built-in classes&lt;/a>&lt;/li>
&lt;li>&lt;a href="#sec:example-an-inverse-slide">&lt;span class="section-number">5.2&lt;/span> Example: an inverse slide&lt;/a>&lt;/li>
&lt;li>&lt;a href="#sec:example-center-content">&lt;span class="section-number">5.3&lt;/span> Example: center content&lt;/a>&lt;/li>
&lt;li>&lt;a href="#sec:example-fade-a-slide">&lt;span class="section-number">5.4&lt;/span> Example: fade a slide&lt;/a>&lt;/li>
&lt;li>&lt;a href="#sec:example-a-background-image">&lt;span class="section-number">5.5&lt;/span> Example: a background image&lt;/a>&lt;/li>
&lt;li>&lt;a href="#sec:example-an-editable-slide">&lt;span class="section-number">5.6&lt;/span> Example: an editable slide&lt;/a>&lt;/li>
&lt;/ul>
&lt;/li>
&lt;li>&lt;a href="#sec:miscellaneous-elements">&lt;span class="section-number main-number">6&lt;/span> Miscellaneous elements&lt;/a>
&lt;ul>
&lt;li>&lt;a href="#sec:page-numbers">&lt;span class="section-number">6.1&lt;/span> Page numbers&lt;/a>&lt;/li>
&lt;li>&lt;a href="#sec:timer">&lt;span class="section-number">6.2&lt;/span> Timer&lt;/a>&lt;/li>
&lt;/ul>
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&lt;li>&lt;a href="#sec:caveats">&lt;span class="section-number main-number">7&lt;/span> Caveats&lt;/a>
&lt;ul>
&lt;li>&lt;a href="#sec:lengthy-slides">&lt;span class="section-number">7.1&lt;/span> Lengthy slides&lt;/a>&lt;/li>
&lt;li>&lt;a href="#sec:page-mode">&lt;span class="section-number">7.2&lt;/span> Page mode&lt;/a>&lt;/li>
&lt;li>&lt;a href="#sec:aspect-ratio">&lt;span class="section-number">7.3&lt;/span> Aspect ratio&lt;/a>&lt;/li>
&lt;li>&lt;a href="#sec:zooming">&lt;span class="section-number">7.4&lt;/span> Zooming&lt;/a>&lt;/li>
&lt;li>&lt;a href="#sec:cross-browser-device-issues">&lt;span class="section-number">7.5&lt;/span> Cross-browser/device issues&lt;/a>&lt;/li>
&lt;/ul>
&lt;/li>
&lt;li>&lt;a href="#sec:technical-notes">&lt;span class="section-number main-number">8&lt;/span> Technical notes&lt;/a>
&lt;ul>
&lt;li>&lt;a href="#sec:the-original-html">&lt;span class="section-number">8.1&lt;/span> The original HTML&lt;/a>&lt;/li>
&lt;li>&lt;a href="#sec:snap-js">&lt;span class="section-number">8.2&lt;/span> snap.js&lt;/a>&lt;/li>
&lt;li>&lt;a href="#sec:snap-css">&lt;span class="section-number">8.3&lt;/span> snap.css&lt;/a>&lt;/li>
&lt;/ul>
&lt;/li>
&lt;li>&lt;a href="#sec:enjoy">&lt;span class="section-number main-number">9&lt;/span> Enjoy!&lt;/a>&lt;/li>
&lt;/ul>
&lt;/div>
&lt;h2 id="sec:get-started">&lt;span class="section-number main-number">1&lt;/span> Get started&lt;/h2>
&lt;p>Specify at least one CSS file (&lt;code>snap.css&lt;/code>) and one JS script (&lt;code>snap.js&lt;/code>) in YAML
metadata:&lt;/p></description></item><item><title/><link>https://cying.org/slides/2025-07-01-introduction/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://cying.org/slides/2025-07-01-introduction/</guid><description>&lt;!DOCTYPE html>
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&lt;title>Introduction&lt;/title>
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&lt;div class="title">&lt;h1>Introduction&lt;/h1>&lt;/div>
&lt;div class="author">&lt;h2>&lt;a href="https://cying.org">cw&lt;/a>&lt;/h2>&lt;/div>
&lt;div class="date">&lt;h3>2026-03-02&lt;/h3>&lt;/div>
&lt;/div>
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&lt;ul class="numbered">
&lt;li>&lt;a href="#sec:_1">&lt;span class="section-number main-number">1&lt;/span> 项目成果展示：胃癌多组学研究设计&lt;/a>&lt;/li>
&lt;li>&lt;a href="#sec:_2">&lt;span class="section-number main-number">2&lt;/span> 项目成果展示：生信可视化&lt;/a>&lt;/li>
&lt;li>&lt;a href="#sec:_3">&lt;span class="section-number main-number">3&lt;/span> 项目成果展示：单细胞分析可视化&lt;/a>&lt;/li>
&lt;li>&lt;a href="#sec:easybio_1">&lt;span class="section-number main-number">4&lt;/span> &lt;code>easybio&lt;/code>&lt;/a>
&lt;ul>
&lt;li>&lt;a href="#sec:_4">&lt;span class="section-number">4.1&lt;/span> 背景与痛点&lt;/a>&lt;/li>
&lt;li>&lt;a href="#sec:easybio_2">&lt;span class="section-number">4.2&lt;/span> &lt;code>easybio&lt;/code> 解决方案：透明化三步工作流&lt;/a>&lt;/li>
&lt;li>&lt;a href="#sec:_6">&lt;span class="section-number">4.3&lt;/span> 技术亮点与优势&lt;/a>&lt;/li>
&lt;li>&lt;a href="#sec:q-amp-a">Q &amp;amp; A&lt;/a>&lt;/li>
&lt;/ul>
&lt;/li>
&lt;/ul>
&lt;/div>
&lt;h2 id="sec:_1">&lt;span class="section-number main-number">1&lt;/span> 项目成果展示：胃癌多组学研究设计&lt;/h2>
&lt;p>&lt;a href="gastric_cancer_study_design.pdf">点击此处查看高清PDF原图&lt;/a>&lt;/p>
&lt;div class="scroll-box" style="max-height: 75vh; overflow-y: auto; border: 1px solid #ddd; padding: 1em; margin: auto;">
&lt;pre class="mermaid">graph TB;

 subgraph Phase I: Data Collection &amp;amp; Pre-processing
 direction TB;
 Data_SC[&amp;quot;&amp;lt;b&amp;gt;scRNA-seq Datasets&amp;lt;/b&amp;gt;&amp;lt;br/&amp;gt;(GSE datasets)&amp;lt;br/&amp;gt;&amp;lt;i&amp;gt;Identification of cell types&amp;lt;/i&amp;gt;&amp;quot;];
 Data_Bulk[&amp;quot;&amp;lt;b&amp;gt;Bulk Transcriptome&amp;lt;/b&amp;gt;&amp;lt;br/&amp;gt;Training: TCGA-gastric cancer&amp;lt;br/&amp;gt;Validation: GEO Cohorts&amp;quot;];
 Data_Multi[&amp;quot;&amp;lt;b&amp;gt;Multi-omics Data&amp;lt;/b&amp;gt;&amp;lt;br/&amp;gt;Mutation, CNV, Methylation&amp;lt;br/&amp;gt;HPA (IHC), Drug Databases&amp;quot;];
 end

 subgraph Phase II: Identification of FRGs
 direction TB;
 Step_Clustering[&amp;quot;Seurat Clustering &amp;amp; SingleR Annotation&amp;lt;br/&amp;gt;(Immune, Stromal, Malignant cells)&amp;quot;];
 Step_Screening[&amp;quot;Screening Fibroblast-Related Genes (FRGs)&amp;lt;br/&amp;gt;High expression in fibroblast clusters&amp;quot;];
 Step_Validation[&amp;quot;Cross-Validation&amp;lt;br/&amp;gt;(TISCH DB &amp;amp; Correlation with&amp;lt;br/&amp;gt;xCell/MCP-counter)&amp;quot;];
 Node_54FRGs{&amp;quot;&amp;lt;b&amp;gt;Candidate FRGs&amp;lt;/b&amp;gt;&amp;lt;br/&amp;gt;Identified&amp;quot;};
 end
 
 subgraph Phase III: FRGI Model Construction
 direction TB;
 Step_Omics[&amp;quot;Multi-omics Characterization&amp;lt;br/&amp;gt;(Diff. Exp, Mutation, CNV, Methylation)&amp;quot;];
 Step_Drug[&amp;quot;Clinical Value Assessment&amp;lt;br/&amp;gt;(PubTator, TDL, Gene Dependency Score)&amp;quot;];
 Step_ML[&amp;quot;&amp;lt;b&amp;gt;Machine Learning Selection&amp;lt;/b&amp;gt;&amp;lt;br/&amp;gt;10 Algorithms Integration&amp;lt;br/&amp;gt;(Lasso, Ridge, RF, GBM, Boruta, etc.)&amp;quot;];
 Node_3Genes{&amp;quot;&amp;lt;b&amp;gt;Core Signature (FRGI)&amp;lt;/b&amp;gt;&amp;quot;};
 end

 subgraph Phase IV: CD8+ T-cell - Fibroblast Subtyping
 direction TB;
 Step_Class1[&amp;quot;&amp;lt;b&amp;gt;FRG Subtyping&amp;lt;/b&amp;gt;&amp;lt;br/&amp;gt;Fibroblast Hot vs. Cold&amp;quot;];
 Step_Mechanism[&amp;quot;Mechanism Analysis&amp;lt;br/&amp;gt;GSEA, GSVA, TIDE (Immunotherapy)&amp;quot;];
 Step_Class2[&amp;quot;&amp;lt;b&amp;gt;Dual-Factor Subtyping&amp;lt;br/&amp;gt;Construction&amp;lt;/b&amp;gt;&amp;lt;br/&amp;gt;CD8+ T-cell Activity &amp;lt;b&amp;gt;x&amp;lt;/b&amp;gt; FRG Status&amp;quot;];
 Outcome_4Types[&amp;quot;&amp;lt;b&amp;gt;Four Molecular Subtypes&amp;lt;/b&amp;gt;&amp;lt;br/&amp;gt;CD8+FH, CD8+FC, CD8-FH, CD8-FC&amp;quot;];
 end

 Step_Nomogram[&amp;quot;Nomogram Construction&amp;lt;br/&amp;gt;FRGI + Clinical Variables&amp;quot;];
 Step_SurvVal[&amp;quot;Survival Validation&amp;lt;br/&amp;gt;(TCGA, GEO, Pan-cancer)&amp;quot;];
 Outcome_Therapy[&amp;quot;&amp;lt;b&amp;gt;Therapeutic Strategy Map&amp;lt;/b&amp;gt;&amp;lt;br/&amp;gt;Precision Medicine Guidance&amp;lt;br/&amp;gt;(Immuno/Chemo/Targeted Therapy)&amp;quot;];

 Data_SC --&amp;gt; Step_Clustering;
 Step_Clustering --&amp;gt; Step_Screening;
 Step_Screening --&amp;gt; Step_Validation;
 Step_Validation --&amp;gt; Node_54FRGs;
 
 Node_54FRGs --&amp;gt; Step_Omics;
 Node_54FRGs --&amp;gt; Step_Drug;

 Data_Multi --&amp;gt; Step_Omics;
 
 Step_Omics --&amp;gt; Step_ML;
 Step_Drug --&amp;gt; Step_ML;
 Data_Bulk -- &amp;quot;Expression Data&amp;quot; --&amp;gt; Step_ML;
 
 Step_ML --&amp;gt; Node_3Genes;
 Node_3Genes --&amp;gt; Step_Nomogram;
 Node_3Genes --&amp;gt; Step_SurvVal;
 
 Node_3Genes --&amp;gt; Step_Class1;
 Step_Class1 --&amp;gt; Step_Mechanism;
 Step_Mechanism -- &amp;quot;Integrate with&amp;lt;br/&amp;gt;CD8+ T-cell Signature&amp;quot; --&amp;gt; Step_Class2;
 Step_Class2 --&amp;gt; Outcome_4Types;
 
 Outcome_4Types --&amp;gt; Outcome_Therapy;
 Step_Nomogram -. &amp;quot;Clinical Prediction&amp;quot; .-&amp;gt; Outcome_Therapy;
 Step_SurvVal --&amp;gt; Outcome_Therapy;

 %% Styling
 style Data_SC fill:#E3F2FD,stroke:#1565C0,stroke-width:1.5px;
 style Data_Bulk fill:#E3F2FD,stroke:#1565C0,stroke-width:1.5px;
 style Data_Multi fill:#E3F2FD,stroke:#1565C0,stroke-width:1.5px;

 style Step_Clustering fill:#E0F2F1,stroke:#00695C,stroke-width:1.5px;
 style Step_Screening fill:#E0F2F1,stroke:#00695C,stroke-width:1.5px;
 style Step_Validation fill:#E0F2F1,stroke:#00695C,stroke-width:1.5px;
 style Node_54FRGs fill:#B2DFDB,stroke:#00695C,stroke-width:1.5px;

 style Step_Omics fill:#FFF3E0,stroke:#EF6C00,stroke-width:1.5px;
 style Step_Drug fill:#FFF3E0,stroke:#EF6C00,stroke-width:1.5px;
 style Step_ML fill:#FFF3E0,stroke:#EF6C00,stroke-width:1.5px;
 style Node_3Genes fill:#FFE0B2,stroke:#EF6C00,stroke-width:1.5px;

 style Step_Nomogram fill:#F3E5F5,stroke:#6A1B9A,stroke-width:1.5px;
 style Step_SurvVal fill:#F3E5F5,stroke:#6A1B9A,stroke-width:1.5px;
 
 style Step_Class1 fill:#FFEBEE,stroke:#C62828,stroke-width:1.5px;
 style Step_Mechanism fill:#FFEBEE,stroke:#C62828,stroke-width:1.5px;
 style Step_Class2 fill:#FFEBEE,stroke:#C62828,stroke-width:2.5px;

 style Outcome_4Types fill:#FAFAFA,stroke:#333333,stroke-width:1.5px;
 style Outcome_Therapy fill:#FAFAFA,stroke:#333333,stroke-width:1.5px;
&lt;/pre>
&lt;/div>
&lt;hr />
&lt;!--# class="center middle" -->
&lt;h2 id="sec:_2">&lt;span class="section-number main-number">2&lt;/span> 项目成果展示：生信可视化&lt;/h2>
&lt;p>&lt;img 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" alt="" class="diff" height="80%" />&lt;/p></description></item></channel></rss>