{"id":4493,"date":"2024-01-04T07:24:07","date_gmt":"2024-01-04T07:24:07","guid":{"rendered":"https:\/\/www.editage.com\/insights\/exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers\/"},"modified":"2025-01-15T06:16:26","modified_gmt":"2025-01-15T06:16:26","slug":"exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers","status":"publish","type":"post","link":"https:\/\/www.editage.com\/insights\/exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers","title":{"rendered":"Exploratory analysis of multi-omics datasets: A handy guide for biomedical researchers"},"content":{"rendered":"<p>Multi-omics data integrates information from multiple biological domains, such as genomics, transcriptomics, proteomics, and metabolomics. These omics datasets provide information about different molecular components in biological systems, and integrating them can reveal complex relationships and help identify biomarkers, pathways, and potential therapeutic targets. Exploratory analysis of multi-omics datasets is a critical process for biomedical researchers aiming to gain insights from various types of\u00a0<a aria-label=\"Link high-dimensional biological data\" href=\"https:\/\/www.editage.com\/blog\/statistical-methods-in-genetics-research\/\" rel=\"noreferrer noopener\" target=\"_blank\" title=\"https:\/\/www.editage.com\/blog\/statistical-methods-in-genetics-research\/\">high-dimensional biological data<\/a>. In this blogpost, we\u2019ll take a look at how such analyses can be conducted, with a step-by-step explanation of the process.<\/p>\n<p><strong>Exploring Multi-Omics Data: The Basic Process<\/strong><\/p>\n<p>Here are the key steps to be followed when conducting an exploratory data analysis.<\/p>\n<p><strong><i>Data Collection:<\/i><\/strong><\/p>\n<ul>\n<li>Gather omics datasets from various sources, including genotyping, gene expression profiling, protein quantification, metabolite measurements, and epigenetic modifications.<\/li>\n<li>These datasets may come from experiments like microarrays, RNA-seq, mass spectrometry, or DNA sequencing.<\/li>\n<\/ul>\n<p><strong><i>Data Preprocessing:<\/i><\/strong><\/p>\n<ul>\n<li>Clean the data to remove noise,\u00a0<a aria-label=\"Link missing values\" href=\"https:\/\/www.editage.com\/insights\/statistical-solutions-to-overcome-missing-data-in-clinical-trials-and-observational-studies?refer=insights-search-posts\" rel=\"noreferrer noopener\" target=\"_blank\" title=\"https:\/\/www.editage.com\/insights\/statistical-solutions-to-overcome-missing-data-in-clinical-trials-and-observational-studies?refer=insights-search-posts\">missing values<\/a>, and\u00a0<a aria-label=\"Link outliers\" href=\"https:\/\/www.editage.com\/insights\/taming-outliers-in-biomedical-research-a-handy-guide?refer=insights-search-posts\" rel=\"noreferrer noopener\" target=\"_blank\" title=\"https:\/\/www.editage.com\/insights\/taming-outliers-in-biomedical-research-a-handy-guide?refer=insights-search-posts\">outliers<\/a>.<\/li>\n<li>Normalize and standardize the data to ensure that different omics datasets are on the same scale for meaningful comparisons.<\/li>\n<\/ul>\n<p><strong><i>Data Integration:<\/i><\/strong><\/p>\n<ul>\n<li><a aria-label=\"Link Integrate the omics datasets\" href=\"https:\/\/www.editage.com\/blog\/high-dimensional-data-in-biomedical-research\/\" rel=\"noreferrer noopener\" target=\"_blank\" title=\"https:\/\/www.editage.com\/blog\/high-dimensional-data-in-biomedical-research\/\">Integrate the omics datasets<\/a> to create a comprehensive multi-omics dataset. Integration methods include data fusion, data alignment, and\u00a0<a aria-label=\"Link dimensionality reduction techniques\" href=\"https:\/\/www.editage.com\/blog\/dimension-reduction-technique-omics-data\/\" rel=\"noreferrer noopener\" target=\"_blank\" title=\"https:\/\/www.editage.com\/blog\/dimension-reduction-technique-omics-data\/\">dimensionality reduction techniques<\/a>.<\/li>\n<\/ul>\n<p><strong><i>Data Exploration and Visualization:<\/i><\/strong><\/p>\n<ul>\n<li>Generate various types of plots and\u00a0<a aria-label=\"Link visualizations\" href=\"https:\/\/www.editage.com\/insights\/unleashing-the-power-of-data-visualization-a-quick-overview-for-biomedical-researchers?refer=insights-search-posts\" rel=\"noreferrer noopener\" target=\"_blank\" title=\"https:\/\/www.editage.com\/insights\/unleashing-the-power-of-data-visualization-a-quick-overview-for-biomedical-researchers?refer=insights-search-posts\">visualizations<\/a> to explore the integrated data, such as scatter plots, heatmaps, hierarchical clustering, and network diagrams.<\/li>\n<li>Use dimensionality reduction techniques to visualize high-dimensional data in two or three dimensions.<\/li>\n<li>Identify patterns,\u00a0<a aria-label=\"Link correlations\" href=\"https:\/\/www.editage.com\/insights\/differences-between-correlation-and-regression-learn-about-different-types-of-statistical-relationships?refer=insights-search-posts\" rel=\"noreferrer noopener\" target=\"_blank\" title=\"https:\/\/www.editage.com\/insights\/differences-between-correlation-and-regression-learn-about-different-types-of-statistical-relationships?refer=insights-search-posts\">correlations<\/a>, and potential outliers in the data.<\/li>\n<\/ul>\n<p><strong>Statistical Methods Used for Data Exploration<\/strong><\/p>\n<p>While there are a number of statistical methods you can use to explore your multi-omics data, here are the three most popular ones:<\/p>\n<p><strong><i>Principal Component Analysis (PCA):<\/i><\/strong><\/p>\n<p>PCA is a dimensionality reduction technique that transforms high-dimensional data into a set of linearly uncorrelated variables called principal components, allowing for a simplified representation of the data while retaining its major sources of variation.<\/p>\n<p>Pros: Reduces dimensionality, highlights major sources of variation, and aids visualization.<\/p>\n<p>Cons: Assumes linear relationships, may not capture non-linear patterns, and might not be suitable for datasets with complex structures.<\/p>\n<p><strong><i>Hierarchical Clustering:<\/i><\/strong><\/p>\n<p>Hierarchical clustering is a method that groups similar elements in a dataset into nested clusters, creating a tree-like structure (dendrogram) to represent relationships and similarities between samples or features.<\/p>\n<p>Pros: Groups similar samples or features into clusters, revealing structure in the data.<\/p>\n<p>Cons: Sensitive to outliers, computationally intensive for\u00a0<a aria-label=\"Link large datasets\" href=\"https:\/\/www.editage.com\/insights\/does-big-data-mean-good-data-5-challenges-researchers-face-while-handling-big-data-sets?refer=insights-search-posts\" rel=\"noreferrer noopener\" target=\"_blank\" title=\"https:\/\/www.editage.com\/insights\/does-big-data-mean-good-data-5-challenges-researchers-face-while-handling-big-data-sets?refer=insights-search-posts\">large datasets<\/a>, and choice of distance metric impacts results.<\/p>\n<p><strong><i>Heatmaps:<\/i><\/strong><\/p>\n<p>Heatmaps visually represent data in a matrix format, where colors indicate the magnitude of values.<\/p>\n<p>Pros: Provides a visual representation of data patterns, useful for identifying clusters and trends.<\/p>\n<p>Cons: Interpretation can be subjective, and the choice of color scale may influence perception.<\/p>\n<p><strong>Conclusion<\/strong><\/p>\n<p>From deciphering disease mechanisms to identifying potential therapeutic targets, the comprehensive insights derived from multi-omics analyses propel precision medicine forward. Exploratory data analysis of multi-omics data stands as a powerful compass guiding biomedical researchers through the complex landscape of biology and medicine.<\/p>\n<p>\u00a0<\/p>\n<p><i>Looking for support when working with multi-omics data? Get advice from experts, through Editage\u2019s\u00a0<\/i><a aria-label=\"Link Statistical Analysis &amp; Review Services\" href=\"https:\/\/www.editage.com\/services\/publishing-services-packs\/statistical-analysis\" rel=\"noreferrer noopener\" target=\"_blank\" title=\"https:\/\/www.editage.com\/services\/publishing-services-packs\/statistical-analysis\"><i>Statistical Analysis &amp; Review Services<\/i><\/a><i>.<\/i><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Multi-omics data integrates information from multiple biological domains, such as genomics, transcriptomics, proteomics, and metabolomics. These omics datasets provide information about different molecular components in biological systems, and integrating them can reveal complex relationships and help identify biomarkers, pathways, and potential therapeutic targets. Exploratory analysis of multi-omics datasets is a critical process for biomedical researchers [&hellip;]<\/p>\n","protected":false},"author":15,"featured_media":4494,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[2420,2403],"tags":[2622,1319,2778,366],"new_categories":[],"new_tags":[],"series":[],"class_list":["post-4493","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-analysis","category-publication-support-services","tag-analysisofdata","tag-statistical-analysis","tag-statistical-analysis-and-review","tag-statistical-reporting"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Exploratory analysis of multi-omics datasets: A handy guide for biomedical researchers | Editage Insights<\/title>\n<meta name=\"description\" content=\"In this blogpost, we\u2019ll take a look at how such analyses can be conducted, with a step-by-step explanation of the process.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.editage.com\/insights\/exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Exploratory analysis of multi-omics datasets: A handy guide for biomedical researchers | Editage Insights\" \/>\n<meta property=\"og:description\" content=\"In this blogpost, we\u2019ll take a look at how such analyses can be conducted, with a step-by-step explanation of the process.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.editage.com\/insights\/exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers\" \/>\n<meta property=\"og:site_name\" content=\"Editage Insights\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/Editage\" \/>\n<meta property=\"article:published_time\" content=\"2024-01-04T07:24:07+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-01-15T06:16:26+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.editage.com\/insights\/wp-content\/uploads\/2024\/01\/pexels-alex-green-5699469-1.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"656\" \/>\n\t<meta property=\"og:image:height\" content=\"336\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Marisha Fonseca\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@Editage\" \/>\n<meta name=\"twitter:site\" content=\"@Editage\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Marisha Fonseca\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.editage.com\/insights\/exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.editage.com\/insights\/exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers\"},\"author\":{\"name\":\"Marisha Fonseca\",\"@id\":\"https:\/\/www.editage.com\/insights\/#\/schema\/person\/d7c4142919456ea4250396c49fe1f777\"},\"headline\":\"Exploratory analysis of multi-omics datasets: A handy guide for biomedical researchers\",\"datePublished\":\"2024-01-04T07:24:07+00:00\",\"dateModified\":\"2025-01-15T06:16:26+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.editage.com\/insights\/exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers\"},\"wordCount\":520,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/www.editage.com\/insights\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.editage.com\/insights\/exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.editage.com\/insights\/wp-content\/uploads\/2024\/01\/pexels-alex-green-5699469-1.jpg\",\"keywords\":[\"Analysis of Data\",\"statistical analysis\",\"Statistical analysis and review\",\"statistical reporting\"],\"articleSection\":[\"Data Analysis\",\"Publication Support Services\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/www.editage.com\/insights\/exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.editage.com\/insights\/exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers\",\"url\":\"https:\/\/www.editage.com\/insights\/exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers\",\"name\":\"Exploratory analysis of multi-omics datasets: A handy guide for biomedical researchers | Editage Insights\",\"isPartOf\":{\"@id\":\"https:\/\/www.editage.com\/insights\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.editage.com\/insights\/exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.editage.com\/insights\/exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.editage.com\/insights\/wp-content\/uploads\/2024\/01\/pexels-alex-green-5699469-1.jpg\",\"datePublished\":\"2024-01-04T07:24:07+00:00\",\"dateModified\":\"2025-01-15T06:16:26+00:00\",\"description\":\"In this blogpost, we\u2019ll take a look at how such analyses can be conducted, with a step-by-step explanation of the process.\",\"breadcrumb\":{\"@id\":\"https:\/\/www.editage.com\/insights\/exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.editage.com\/insights\/exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.editage.com\/insights\/exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers#primaryimage\",\"url\":\"https:\/\/www.editage.com\/insights\/wp-content\/uploads\/2024\/01\/pexels-alex-green-5699469-1.jpg\",\"contentUrl\":\"https:\/\/www.editage.com\/insights\/wp-content\/uploads\/2024\/01\/pexels-alex-green-5699469-1.jpg\",\"width\":656,\"height\":336,\"caption\":\"Exploratory analysis of multi-omics datasets: A handy guide for biomedical researchers\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.editage.com\/insights\/exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.editage.com\/insights\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Exploratory analysis of multi-omics datasets: A handy guide for biomedical researchers\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.editage.com\/insights\/#website\",\"url\":\"https:\/\/www.editage.com\/insights\/\",\"name\":\"Editage Insights\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/www.editage.com\/insights\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.editage.com\/insights\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.editage.com\/insights\/#organization\",\"name\":\"Editage Insights\",\"url\":\"https:\/\/www.editage.com\/insights\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.editage.com\/insights\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.editage.com\/insights\/wp-content\/uploads\/2024\/09\/editage-insights-logo-1-scaled.webp\",\"contentUrl\":\"https:\/\/www.editage.com\/insights\/wp-content\/uploads\/2024\/09\/editage-insights-logo-1-scaled.webp\",\"width\":2560,\"height\":324,\"caption\":\"Editage Insights\"},\"image\":{\"@id\":\"https:\/\/www.editage.com\/insights\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/Editage\",\"https:\/\/x.com\/Editage\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.editage.com\/insights\/#\/schema\/person\/d7c4142919456ea4250396c49fe1f777\",\"name\":\"Marisha Fonseca\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.editage.com\/insights\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/f20e869af960f8daf3a3b638794b78e3f2e363b4604e2b916f9349e07bb3c01d?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/f20e869af960f8daf3a3b638794b78e3f2e363b4604e2b916f9349e07bb3c01d?s=96&d=mm&r=g\",\"caption\":\"Marisha Fonseca\"},\"url\":\"https:\/\/www.editage.com\/insights\/marisha-fonseca\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Exploratory analysis of multi-omics datasets: A handy guide for biomedical researchers | Editage Insights","description":"In this blogpost, we\u2019ll take a look at how such analyses can be conducted, with a step-by-step explanation of the process.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.editage.com\/insights\/exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers","og_locale":"en_US","og_type":"article","og_title":"Exploratory analysis of multi-omics datasets: A handy guide for biomedical researchers | Editage Insights","og_description":"In this blogpost, we\u2019ll take a look at how such analyses can be conducted, with a step-by-step explanation of the process.","og_url":"https:\/\/www.editage.com\/insights\/exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers","og_site_name":"Editage Insights","article_publisher":"https:\/\/www.facebook.com\/Editage","article_published_time":"2024-01-04T07:24:07+00:00","article_modified_time":"2025-01-15T06:16:26+00:00","og_image":[{"width":656,"height":336,"url":"https:\/\/www.editage.com\/insights\/wp-content\/uploads\/2024\/01\/pexels-alex-green-5699469-1.jpg","type":"image\/jpeg"}],"author":"Marisha Fonseca","twitter_card":"summary_large_image","twitter_creator":"@Editage","twitter_site":"@Editage","twitter_misc":{"Written by":"Marisha Fonseca","Est. reading time":"3 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.editage.com\/insights\/exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers#article","isPartOf":{"@id":"https:\/\/www.editage.com\/insights\/exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers"},"author":{"name":"Marisha Fonseca","@id":"https:\/\/www.editage.com\/insights\/#\/schema\/person\/d7c4142919456ea4250396c49fe1f777"},"headline":"Exploratory analysis of multi-omics datasets: A handy guide for biomedical researchers","datePublished":"2024-01-04T07:24:07+00:00","dateModified":"2025-01-15T06:16:26+00:00","mainEntityOfPage":{"@id":"https:\/\/www.editage.com\/insights\/exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers"},"wordCount":520,"commentCount":0,"publisher":{"@id":"https:\/\/www.editage.com\/insights\/#organization"},"image":{"@id":"https:\/\/www.editage.com\/insights\/exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers#primaryimage"},"thumbnailUrl":"https:\/\/www.editage.com\/insights\/wp-content\/uploads\/2024\/01\/pexels-alex-green-5699469-1.jpg","keywords":["Analysis of Data","statistical analysis","Statistical analysis and review","statistical reporting"],"articleSection":["Data Analysis","Publication Support Services"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/www.editage.com\/insights\/exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers#respond"]}]},{"@type":"WebPage","@id":"https:\/\/www.editage.com\/insights\/exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers","url":"https:\/\/www.editage.com\/insights\/exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers","name":"Exploratory analysis of multi-omics datasets: A handy guide for biomedical researchers | Editage Insights","isPartOf":{"@id":"https:\/\/www.editage.com\/insights\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.editage.com\/insights\/exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers#primaryimage"},"image":{"@id":"https:\/\/www.editage.com\/insights\/exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers#primaryimage"},"thumbnailUrl":"https:\/\/www.editage.com\/insights\/wp-content\/uploads\/2024\/01\/pexels-alex-green-5699469-1.jpg","datePublished":"2024-01-04T07:24:07+00:00","dateModified":"2025-01-15T06:16:26+00:00","description":"In this blogpost, we\u2019ll take a look at how such analyses can be conducted, with a step-by-step explanation of the process.","breadcrumb":{"@id":"https:\/\/www.editage.com\/insights\/exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.editage.com\/insights\/exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.editage.com\/insights\/exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers#primaryimage","url":"https:\/\/www.editage.com\/insights\/wp-content\/uploads\/2024\/01\/pexels-alex-green-5699469-1.jpg","contentUrl":"https:\/\/www.editage.com\/insights\/wp-content\/uploads\/2024\/01\/pexels-alex-green-5699469-1.jpg","width":656,"height":336,"caption":"Exploratory analysis of multi-omics datasets: A handy guide for biomedical researchers"},{"@type":"BreadcrumbList","@id":"https:\/\/www.editage.com\/insights\/exploratory-analysis-of-multi-omics-datasets-a-handy-guide-for-biomedical-researchers#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.editage.com\/insights\/"},{"@type":"ListItem","position":2,"name":"Exploratory analysis of multi-omics datasets: A handy guide for biomedical researchers"}]},{"@type":"WebSite","@id":"https:\/\/www.editage.com\/insights\/#website","url":"https:\/\/www.editage.com\/insights\/","name":"Editage Insights","description":"","publisher":{"@id":"https:\/\/www.editage.com\/insights\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.editage.com\/insights\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/www.editage.com\/insights\/#organization","name":"Editage Insights","url":"https:\/\/www.editage.com\/insights\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.editage.com\/insights\/#\/schema\/logo\/image\/","url":"https:\/\/www.editage.com\/insights\/wp-content\/uploads\/2024\/09\/editage-insights-logo-1-scaled.webp","contentUrl":"https:\/\/www.editage.com\/insights\/wp-content\/uploads\/2024\/09\/editage-insights-logo-1-scaled.webp","width":2560,"height":324,"caption":"Editage Insights"},"image":{"@id":"https:\/\/www.editage.com\/insights\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/Editage","https:\/\/x.com\/Editage"]},{"@type":"Person","@id":"https:\/\/www.editage.com\/insights\/#\/schema\/person\/d7c4142919456ea4250396c49fe1f777","name":"Marisha Fonseca","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.editage.com\/insights\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/f20e869af960f8daf3a3b638794b78e3f2e363b4604e2b916f9349e07bb3c01d?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/f20e869af960f8daf3a3b638794b78e3f2e363b4604e2b916f9349e07bb3c01d?s=96&d=mm&r=g","caption":"Marisha Fonseca"},"url":"https:\/\/www.editage.com\/insights\/marisha-fonseca"}]}},"_links":{"self":[{"href":"https:\/\/www.editage.com\/insights\/wp-json\/wp\/v2\/posts\/4493","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.editage.com\/insights\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.editage.com\/insights\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.editage.com\/insights\/wp-json\/wp\/v2\/users\/15"}],"replies":[{"embeddable":true,"href":"https:\/\/www.editage.com\/insights\/wp-json\/wp\/v2\/comments?post=4493"}],"version-history":[{"count":0,"href":"https:\/\/www.editage.com\/insights\/wp-json\/wp\/v2\/posts\/4493\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.editage.com\/insights\/wp-json\/wp\/v2\/media\/4494"}],"wp:attachment":[{"href":"https:\/\/www.editage.com\/insights\/wp-json\/wp\/v2\/media?parent=4493"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.editage.com\/insights\/wp-json\/wp\/v2\/categories?post=4493"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.editage.com\/insights\/wp-json\/wp\/v2\/tags?post=4493"},{"taxonomy":"new_categories","embeddable":true,"href":"https:\/\/www.editage.com\/insights\/wp-json\/wp\/v2\/new_categories?post=4493"},{"taxonomy":"new_tags","embeddable":true,"href":"https:\/\/www.editage.com\/insights\/wp-json\/wp\/v2\/new_tags?post=4493"},{"taxonomy":"series","embeddable":true,"href":"https:\/\/www.editage.com\/insights\/wp-json\/wp\/v2\/series?post=4493"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}