From 9bb593abf6b61c6e0bbbb53b7814c8243e7983f5 Mon Sep 17 00:00:00 2001 From: ataulhaleem Date: Wed, 3 Jul 2024 18:15:40 +0200 Subject: [PATCH] pca plot test mdx --- next.config.js | 2 +- pages/modules/Stratification/pca.mdx | 3 +-- 2 files changed, 2 insertions(+), 3 deletions(-) diff --git a/next.config.js b/next.config.js index 0beb4ab..b3447dd 100644 --- a/next.config.js +++ b/next.config.js @@ -7,7 +7,7 @@ module.exports = withNextra({ output: 'export', basePath: '/documentation', // trailingSlash: true, - // assetPrefix: '/', + assetPrefix: '/', images: { unoptimized: true }, diff --git a/pages/modules/Stratification/pca.mdx b/pages/modules/Stratification/pca.mdx index 77a0868..2bf88d3 100644 --- a/pages/modules/Stratification/pca.mdx +++ b/pages/modules/Stratification/pca.mdx @@ -1,5 +1,4 @@ import Image from 'next/image' -import pcaImage from '../../../public/pca.png' ## Principle component analysis @@ -33,4 +32,4 @@ The PCA plot is visualized using a custom JavaScript component, which colors the Each point in the plot represents a sample, and the colors indicate the geographic origin of the samples. This visualization helps in identifying population structure and understanding the genetic diversity within the dataset. -image of the pca plot +image of the pca plot