From 0f6646b81728be7854ebed88a0911fc4979f45de Mon Sep 17 00:00:00 2001
From: MaximilianLombardo <mlombardo@chanzuckerberg.com>
Date: Tue, 8 Oct 2024 22:46:04 +0200
Subject: [PATCH] docs: Update 4_1__Hosted Tutorials.mdx (#7356)

---
 .../4_1__Hosted Tutorials.mdx                      | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/frontend/doc-site/04__Analyze Public Data/4_1__Hosted Tutorials.mdx b/frontend/doc-site/04__Analyze Public Data/4_1__Hosted Tutorials.mdx
index 9bbd5f7b2560e..2a8d426ab0111 100644
--- a/frontend/doc-site/04__Analyze Public Data/4_1__Hosted Tutorials.mdx	
+++ b/frontend/doc-site/04__Analyze Public Data/4_1__Hosted Tutorials.mdx	
@@ -14,7 +14,7 @@ CELLxGENE Explorer's user interface organizes single cell data similarly to how
 
 **Key Concepts**: User Interface Explanation
 
-<EmbeddedGoogleSlides src="https://docs.google.com/presentation/d/e/2PACX-1vQzA99mYecRu0Y5v--QsUCAuoTJFxo7VIhApCB-E669-00KCKww8AumBZcX0pwV41qHIuLRTsL7AckB/embed?start=false&loop=false&delayms=3000" />
+<EmbeddedGoogleSlides src="https://docs.google.com/presentation/d/1W4YimCRcKgjkLUBWd4bqcy-wDxZQXOmDCvDThugFE54/embed?start=false&loop=false&delayms=3000" />
 
 ## Examining Categorical Metadata
 
@@ -22,7 +22,7 @@ Categorical metadata (such as tissue of origin or cell type) can be used in a nu
 
 **Key Concepts**: Categorical Metadata, Selecting Cells by Category (i.e. cell type), Interaction Between Categorical Metadata Fields
 
-<EmbeddedGoogleSlides src="https://docs.google.com/presentation/d/e/2PACX-1vR_lM5Z-lwKerqPGp1w1wM6oo-zj3lfx5MmOxptCCyP7YeU-O8rC9ZjWCdwvum7lmehRwfQuScyAjiP/embed?start=false&loop=false&delayms=3000" />
+<EmbeddedGoogleSlides src="https://docs.google.com/presentation/d/13B1ThLYyvdJzTzrw_MHSu1FgxwLxE0JDmMKNQNYt0TI/embed?start=false&loop=false&delayms=3000" />
 
 ## Find Cells Where a Gene is Expressed
 
@@ -30,7 +30,7 @@ Numerical metadata (such gene expression features or QC metrics such as number o
 
 **Key Concepts**: Numerical Metadata, Cell Filtering and Selection, Interaction Between Numerical Metadata, Categorical Metadata Fields
 
-<EmbeddedGoogleSlides src="https://docs.google.com/presentation/d/e/2PACX-1vQki4kVdc3aVitM1njrvtGKJ0n_PROTvFxN_oVJ-8kLPPAkT6pN_8yjF8T9luVzcsuMC81gCVkALA95/embed?start=false&loop=false&delayms=3000" />
+<EmbeddedGoogleSlides src="https://docs.google.com/presentation/d/1Z9mD5SK-6nI8pogQEclI9iYDI4vI_zoigblAy0d3tvM/embed?start=false&loop=false&delayms=3000" />
 
 ## Selecting and Subsetting Cells
 
@@ -38,7 +38,7 @@ Explorer allows for the complex selection of cells via selection directly on the
 
 **Key Concepts**: Categorical Metadata Selection, Numerical Metadata Selection, Complex Selection (combining selection methods)
 
-<EmbeddedGoogleSlides src="https://docs.google.com/presentation/d/e/2PACX-1vSDkm8hljo9zXIpI0kBCKRpOyKUJx8MN6lsOXw-OlxFy6b04g6DiY4HKREisl4kttfXHqP2kr7AG6pv/embed?start=false&loop=false&delayms=3000" />
+<EmbeddedGoogleSlides src="https://docs.google.com/presentation/d/1UvnH7yVB66-xUWIcWsPJ_U0cB17CjhRbWtQHnP59WiA/embed?start=false&loop=false&delayms=3000" />
 
 ## Compare Expression of Multiple Genes
 
@@ -46,7 +46,7 @@ Explorer allows you to compare the expression of multiple genes via bivariate pl
 
 **Key Concepts**: Gene Expression, Co-expression, Cell Selection, Subsetting
 
-<EmbeddedGoogleSlides src="https://docs.google.com/presentation/d/e/2PACX-1vQJ5623UX9tJJKNKDlqD1kBpL3mtbJ89MDpV7GAJHJd2DLr6qJJux4g9ZaeLcuTPvwUI1Q3jULDkYWh/embed?start=false&loop=false&delayms=3000" />
+<EmbeddedGoogleSlides src="https://docs.google.com/presentation/d/1v5J4ggWK7mI4DyEibqbBSLGt2CIFDNjrWuKSxmz-MCQ/embed?start=false&loop=false&delayms=3000" />
 
 ## Using Gene Sets to Learn About Cell Population Functional Characteristics
 
@@ -58,7 +58,7 @@ _Listed below is a comma separated gene set list for use with this tutorial._
 
 ACAA1, ACAA2, ACADL, ACADM, ACADS, ACADSB, ACADVL, ACAT1, ACAT2, ACOX1, ACOX3, ACSL1, ACSL3, ACSL4, ACSL5, ACSL6, ADH1A, ADH1B, ADH1C, ADH4, ADH5, ADH6, ADH7, ALDH1B1, ALDH2, ALDH3A2, ALDH7A1, ALDH9A1, CPT1A, CPT1B, CPT1C, CPT2, CYP4A11, CYP4A22, ECHS1, ECI1, ECI2, EHHADH, GCDH, HADH, HADHA, HADHB
 
-<EmbeddedGoogleSlides src="https://docs.google.com/presentation/d/e/2PACX-1vQJJTN_X6gVM8JP9aMF-A1Bh7ybEFb19fYzIqAt9EzceBmGNvxrb86u7ZSneNrpd0CUdNJMSTqpi8In/embed?start=false&loop=false&delayms=3000" />
+<EmbeddedGoogleSlides src="https://docs.google.com/presentation/d/1pv5In5uD_v1Sy6vSKHPvM7e7ViCvftOALelX3wbKAp0/embed?start=false&loop=false&delayms=3000" />
 
 ## Find Marker Genes
 
@@ -66,6 +66,6 @@ Explorer allows you to find marker genes between selected cell populations.
 
 **Key Concepts**: Gene Expression, Differential Expression, Cell Selection, Subsetting
 
-<EmbeddedGoogleSlides src="https://docs.google.com/presentation/d/e/2PACX-1vSodPEAz7gO7SQvWY5t9BRV1aNahWBFpG2USoKDxTmnHIzk9sN_j3ISkOL5vxvsdrFOiO0eXlCnd6ru/embed?start=false&loop=false&delayms=3000" />
+<EmbeddedGoogleSlides src="https://docs.google.com/presentation/d/1sNDshrmj7uBXEYtDNV0kKYAa3_Y-cWuiAus64kIRlxM/embed?start=false&loop=false&delayms=3000" />
 
 Note: You can find more information <NextLink href="/docs/04__Analyze%20Public%20Data/4_3__Algorithms%20and%20Ontologies#differential-expression">here</NextLink> about how our differential expression is calculated. In brief, we use a Welch's t-test. While we are aware that single cell data does not always meet the assumptions imposed by this test, we utilize it because it performs well at identifying the _most_ differentially expressed genes, and this is what our feature returns.