#Ggplot2 R Visualization

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#Ggplot2 R Visualization Reel by @omics_logic - 💻🧬 𝟑-𝐃𝐚𝐲 𝐇𝐚𝐧𝐝𝐬-𝐎𝐧 𝐎𝐧𝐥𝐢𝐧𝐞 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 𝐁𝐢𝐨𝐦𝐚𝐫𝐤𝐞𝐫 𝐈𝐝𝐞𝐧𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐔𝐬𝐢𝐧𝐠 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧�
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💻🧬 𝟑-𝐃𝐚𝐲 𝐇𝐚𝐧𝐝𝐬-𝐎𝐧 𝐎𝐧𝐥𝐢𝐧𝐞 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 𝐁𝐢𝐨𝐦𝐚𝐫𝐤𝐞𝐫 𝐈𝐝𝐞𝐧𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐔𝐬𝐢𝐧𝐠 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐏𝐲𝐭𝐡𝐨𝐧. The sessions are designed to help participants work confidently with real gene expression data, guiding them from data preparation to model evaluation and biological interpretation. 📌 𝐖𝐡𝐚𝐭 𝐘𝐨𝐮’𝐥𝐥 𝐋𝐞𝐚𝐫𝐧 - Fundamentals of biomarkers and supervised machine learning - Working with gene expression datasets in Python - Fundamentals of biomarkers and supervised machine learning - Building and evaluating ML models for biomarker discovery - Interpreting model outputs to identify biologically relevant biomarkers 𝐖𝐡𝐨 𝐒𝐡𝐨𝐮𝐥𝐝 𝐀𝐭𝐭𝐞𝐧𝐝: Life science students, bioinformatics and data science learners, and researchers interested in applying machine learning to omics and clinical data. 𝘗𝘺𝘵𝘩𝘰𝘯 𝘧𝘢𝘮𝘪𝘭𝘪𝘢𝘳𝘪𝘵𝘺 𝘪𝘴 𝘩𝘦𝘭𝘱𝘧𝘶𝘭 𝘣𝘶𝘵 𝘯𝘰𝘵 𝘮𝘢𝘯𝘥𝘢𝘵𝘰𝘳𝘺. 𝘛𝘩𝘪𝘴 𝘸𝘰𝘳𝘬𝘴𝘩𝘰𝘱 𝘪𝘴 𝘴𝘶𝘪𝘵𝘢𝘣𝘭𝘦 𝘧𝘰𝘳 𝘣𝘦𝘨𝘪𝘯𝘯𝘦𝘳𝘴 𝘢𝘯𝘥 𝘭𝘪𝘧𝘦 𝘴𝘤𝘪𝘦𝘯𝘤𝘦 𝘳𝘦𝘴𝘦𝘢𝘳𝘤𝘩𝘦𝘳𝘴. 🔗𝑭𝒐𝒓 𝒘𝒐𝒓𝒌𝒔𝒉𝒐𝒑 𝒅𝒆𝒕𝒂𝒊𝒍𝒔 𝒂𝒏𝒅 𝒓𝒆𝒈𝒊𝒔𝒕𝒓𝒂𝒕𝒊𝒐𝒏: https://forms.gle/ZjUFx2Prf7GAeyam9 📅 𝐃𝐚𝐭𝐞: Feb 17 – Feb 19, 2026 🕒 𝐓𝐢𝐦𝐞: 7:30 PM IST | 8:00 AM CST 📍 𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: Online 🔄 Share this post with colleagues who may be interested in biomarker discovery and machine learning applications in biology. #BiomarkerDiscovery #MachineLearning #Python #Bioinformatics #Omics
#Ggplot2 R Visualization Reel by @omics_logic - 🚨 𝑳𝑨𝑺𝑻 𝑭𝑬𝑾 𝑫𝑨𝒀𝑺 𝑳𝑬𝑭𝑻 𝑻𝑶 𝑹𝑬𝑮𝑰𝑺𝑻𝑬𝑹: 𝟒-𝐃𝐚𝐲 𝐎𝐧𝐥𝐢𝐧𝐞 𝐇𝐚𝐧𝐝𝐬-𝐎𝐧 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 𝐨𝐧 𝐁𝐚𝐜𝐭𝐞𝐫𝐢𝐚𝐥 𝐆𝐞𝐧𝐨𝐦
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🚨 𝑳𝑨𝑺𝑻 𝑭𝑬𝑾 𝑫𝑨𝒀𝑺 𝑳𝑬𝑭𝑻 𝑻𝑶 𝑹𝑬𝑮𝑰𝑺𝑻𝑬𝑹: 𝟒-𝐃𝐚𝐲 𝐎𝐧𝐥𝐢𝐧𝐞 𝐇𝐚𝐧𝐝𝐬-𝐎𝐧 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 𝐨𝐧 𝐁𝐚𝐜𝐭𝐞𝐫𝐢𝐚𝐥 𝐆𝐞𝐧𝐨𝐦𝐢𝐜𝐬!🧬💻 This online workshop introduces participants to bacterial whole-genome sequencing (WGS) fundamentals and bioinformatics analysis. 📊 Over four days, attendees will learn about the fundamentals of bacterial genomics, key repositories and databases, NGS workflows, data analysis methods, and the use of popular bioinformatics tools. ✨ By the end, students will understand a typical bacterial genomics pipeline – from raw sequence data through assembly and annotation, and gain familiarity with key tools and resources. 📅 𝐃𝐚𝐭𝐞: March 2 - March 6, 2026 🕒 𝐓𝐢𝐦𝐞: 7:30 PM IST | 8:00 AM CST 📍 𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: Online 🔗 For more information on workshop structure, curriculum, and training resources, register here: https://forms.gle/ZYomiuo8dHTTtgmLA #BacterialGenomics #GenomeSequencing #WGS #NGSDataAnalysis #BioinformaticsWorkshop
#Ggplot2 R Visualization Reel by @doppeldata.au - Great genomic data deserves a great pipeline. Here are the top bioinformatics challenges researchers face - and how to tackle them: 1. Overwhelming d
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Great genomic data deserves a great pipeline. Here are the top bioinformatics challenges researchers face - and how to tackle them: 1. Overwhelming datasets? Break your data into manageable chunks and use automated pipelines to save time. 2. Coding barriers? Learn basic scripting or partner with bioinformatics experts to bridge the gap. 3. Integrating diverse data sources? Standardise formats early and use community-accepted tools. 4. Keeping up with rapidly changing tools? Join local workshops and online communities to stay ahead. 5. Interpreting complex results? Collaborate with statisticians or experienced analysts for context. You're not alone. At Doppeldata, we help researchers build robust pipelines with tailored solutions and a strong community network. Let's make your data work for you 🧬 👉 https://doppeldata.au/ #Bioinformatics #GenomicsPipelines #ComputationalBiology #DataScience #ResearchTools #Doppeldata
#Ggplot2 R Visualization Reel by @omics_logic - 𝐎𝐦𝐢𝐜𝐬𝐋𝐨𝐠𝐢𝐜 𝐓𝐫𝐚𝐧𝐬𝐜𝐫𝐢𝐩𝐭𝐨𝐦𝐢𝐜𝐬 𝐟𝐨𝐫 𝐁𝐢𝐨𝐦𝐞𝐝𝐢𝐜𝐚𝐥 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 - redesigned to help you master transc
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𝐎𝐦𝐢𝐜𝐬𝐋𝐨𝐠𝐢𝐜 𝐓𝐫𝐚𝐧𝐬𝐜𝐫𝐢𝐩𝐭𝐨𝐦𝐢𝐜𝐬 𝐟𝐨𝐫 𝐁𝐢𝐨𝐦𝐞𝐝𝐢𝐜𝐚𝐥 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 — redesigned to help you master transcriptomic data analysis with open-source tools and technologies. 🔬 From the fundamentals of NGS to advanced single-cell RNA-Seq, this program is structured to take you step-by-step through real-world biomedical applications. 📚 𝐂𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰: 𝘽𝙀𝙂𝙄𝙉𝙉𝙀𝙍 𝙇𝙀𝙑𝙀𝙇 (1 𝙢𝙤𝙣𝙩𝙝): - NGS technologies & RNA-Seq workflows - Data extraction (GEO, TCGA, GDC) & metadata handling - Data cleaning, normalization & exploratory analysis (PCA, t-SNE) - Intro to differential gene expression 𝙄𝙉𝙏𝙀𝙍𝙈𝙀𝘿𝙄𝘼𝙏𝙀 𝙇𝙀𝙑𝙀𝙇 (2 𝙢𝙤𝙣𝙩𝙝𝙨): - DGE with DESeq2 & visualization (volcano, MA plots) - Functional & pathway analysis (DAVID, Reactome, KEGG, GSEA) - Network analysis & visualization (Cytoscape, STRING) 𝘼𝘿𝙑𝘼𝙉𝘾𝙀𝘿 𝙇𝙀𝙑𝙀𝙇 (3 𝙢𝙤𝙣𝙩𝙝𝙨): - Machine learning for RNA-Seq - Introduction to single-cell RNA-Seq (Seurat, Cell Ranger) - Clustering, annotation & functional insights at single-cell level ✨ By the end, you’ll gain hands-on experience in transcriptomics workflows and the confidence to apply them in cutting-edge biomedical research. 🔗 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐭𝐨 𝐚𝐜𝐜𝐞𝐬𝐬 𝐭𝐡𝐞 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐜𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 𝐚𝐧𝐝 𝐫𝐞𝐜𝐞𝐢𝐯𝐞 𝐚𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐜𝐞 𝐟𝐫𝐨𝐦 𝐨𝐮𝐫 𝐭𝐞𝐚𝐦: https://forms.gle/Bz6HndM8pXyZvBvs9 #RNASeq #Bioinformatics #Transcriptomics #Research #GEO #GeneExpression #TCGA #GDC #Coding #R #Programming #Certification #SingleCell #DataAnalysis #Cytoscape #String #Reactome #Seurat #CellRanger #KEGG #GSEA
#Ggplot2 R Visualization Reel by @omics_logic - 𝐎𝐦𝐢𝐜𝐬𝐋𝐨𝐠𝐢𝐜 𝐓𝐫𝐚𝐧𝐬𝐜𝐫𝐢𝐩𝐭𝐨𝐦𝐢𝐜𝐬 𝐟𝐨𝐫 𝐁𝐢𝐨𝐦𝐞𝐝𝐢𝐜𝐚𝐥 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 - redesigned to help you master transc
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𝐎𝐦𝐢𝐜𝐬𝐋𝐨𝐠𝐢𝐜 𝐓𝐫𝐚𝐧𝐬𝐜𝐫𝐢𝐩𝐭𝐨𝐦𝐢𝐜𝐬 𝐟𝐨𝐫 𝐁𝐢𝐨𝐦𝐞𝐝𝐢𝐜𝐚𝐥 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 — redesigned to help you master transcriptomic data analysis with open-source tools and technologies. 🔬 From the fundamentals of NGS to advanced single-cell RNA-Seq, this program is structured to take you step-by-step through real-world biomedical applications. 📚 𝐂𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰: 𝘽𝙀𝙂𝙄𝙉𝙉𝙀𝙍 𝙇𝙀𝙑𝙀𝙇 (1 𝙢𝙤𝙣𝙩𝙝): - NGS technologies & RNA-Seq workflows - Data extraction (GEO, TCGA, GDC) & metadata handling - Data cleaning, normalization & exploratory analysis (PCA, t-SNE) - Intro to differential gene expression 𝙄𝙉𝙏𝙀𝙍𝙈𝙀𝘿𝙄𝘼𝙏𝙀 𝙇𝙀𝙑𝙀𝙇 (2 𝙢𝙤𝙣𝙩𝙝𝙨): - DGE with DESeq2 & visualization (volcano, MA plots) - Functional & pathway analysis (DAVID, Reactome, KEGG, GSEA) - Network analysis & visualization (Cytoscape, STRING) 𝘼𝘿𝙑𝘼𝙉𝘾𝙀𝘿 𝙇𝙀𝙑𝙀𝙇 (3 𝙢𝙤𝙣𝙩𝙝𝙨): - Machine learning for RNA-Seq - Introduction to single-cell RNA-Seq (Seurat, Cell Ranger) - Clustering, annotation & functional insights at single-cell level ✨ By the end, you’ll gain hands-on experience in transcriptomics workflows and the confidence to apply them in cutting-edge biomedical research. 🔗 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐭𝐨 𝐚𝐜𝐜𝐞𝐬𝐬 𝐭𝐡𝐞 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐜𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 𝐚𝐧𝐝 𝐫𝐞𝐜𝐞𝐢𝐯𝐞 𝐚𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐜𝐞 𝐟𝐫𝐨𝐦 𝐨𝐮𝐫 𝐭𝐞𝐚𝐦: https://forms.gle/Bz6HndM8pXyZvBvs9 #RNASeq #Bioinformatics #Transcriptomics #Research #GEO #GeneExpression #TCGA #GDC #Coding #R #Programming #Certification #SingleCell #DataAnalysis #Cytoscape #String #Reactome #Seurat #CellRanger #KEGG #GSEA
#Ggplot2 R Visualization Reel by @syngenai_ml - Ever wondered how Biology and Computer Science collide? 🧬💻 ​At @syngenai_ml, we believe that computational thinking is central to understanding lif
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Ever wondered how Biology and Computer Science collide? 🧬💻 ​At @syngenai_ml, we believe that computational thinking is central to understanding life. Bioinformatics is more than just data—it's about building tools that make sense of genomics and proteomics to drive real-world impact. ​Building a tool isn't just about the code; it’s a journey: 📍 The Roadmap: Concept ➡️ Wishlist ➡️ Logical Overview ➡️ Code ➡️ Deploy. 🛠️ The Toolkit: We rely on the heavy hitters like Pandas, Scikit-Learn, and Streamlit to turn models into accessible web apps. ​Why build? Because models shouldn't just sit in papers—they should be reproducible and accessible to millions. ​ 👉🏻Save this post for your next project! 👉🏻Share it with a friend who's learning ML. 👉🏻Follow @SynGenAI_ML for more daily insights into Al and data science. #syngenai_ml #bioinformatics #datascience #pythonprogramming #genomics
#Ggplot2 R Visualization Reel by @omics_logic - 𝐎𝐦𝐢𝐜𝐬𝐋𝐨𝐠𝐢𝐜 𝐓𝐫𝐚𝐧𝐬𝐜𝐫𝐢𝐩𝐭𝐨𝐦𝐢𝐜𝐬 𝐟𝐨𝐫 𝐁𝐢𝐨𝐦𝐞𝐝𝐢𝐜𝐚𝐥 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 - redesigned to help you master transc
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𝐎𝐦𝐢𝐜𝐬𝐋𝐨𝐠𝐢𝐜 𝐓𝐫𝐚𝐧𝐬𝐜𝐫𝐢𝐩𝐭𝐨𝐦𝐢𝐜𝐬 𝐟𝐨𝐫 𝐁𝐢𝐨𝐦𝐞𝐝𝐢𝐜𝐚𝐥 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 — redesigned to help you master transcriptomic data analysis with open-source tools and technologies. 🔬 From the fundamentals of NGS to advanced single-cell RNA-Seq, this program is structured to take you step-by-step through real-world biomedical applications. 📚 𝐂𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰: 𝘽𝙀𝙂𝙄𝙉𝙉𝙀𝙍 𝙇𝙀𝙑𝙀𝙇 (1 𝙢𝙤𝙣𝙩𝙝): - NGS technologies & RNA-Seq workflows - Data extraction (GEO, TCGA, GDC) & metadata handling - Data cleaning, normalization & exploratory analysis (PCA, t-SNE) - Intro to differential gene expression 𝙄𝙉𝙏𝙀𝙍𝙈𝙀𝘿𝙄𝘼𝙏𝙀 𝙇𝙀𝙑𝙀𝙇 (2 𝙢𝙤𝙣𝙩𝙝𝙨): - DGE with DESeq2 & visualization (volcano, MA plots) - Functional & pathway analysis (DAVID, Reactome, KEGG, GSEA) - Network analysis & visualization (Cytoscape, STRING) 𝘼𝘿𝙑𝘼𝙉𝘾𝙀𝘿 𝙇𝙀𝙑𝙀𝙇 (3 𝙢𝙤𝙣𝙩𝙝𝙨): - Machine learning for RNA-Seq - Introduction to single-cell RNA-Seq (Seurat, Cell Ranger) - Clustering, annotation & functional insights at single-cell level ✨ By the end, you’ll gain hands-on experience in transcriptomics workflows and the confidence to apply them in cutting-edge biomedical research. 🔗 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐭𝐨 𝐚𝐜𝐜𝐞𝐬𝐬 𝐭𝐡𝐞 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐜𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 𝐚𝐧𝐝 𝐫𝐞𝐜𝐞𝐢𝐯𝐞 𝐚𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐜𝐞 𝐟𝐫𝐨𝐦 𝐨𝐮𝐫 𝐭𝐞𝐚𝐦: https://forms.gle/Bz6HndM8pXyZvBvs9 #RNASeq #Bioinformatics #Transcriptomics #Research #GEO #GeneExpression #TCGA #GDC #Coding #R #Programming #Certification #SingleCell #DataAnalysis #Cytoscape #String #Reactome #Seurat #CellRanger #KEGG #GSEA
#Ggplot2 R Visualization Reel by @bruhaspathi.in - Still running basic bioinformatics commands? It's time to level up. At Bruhaspathi Institute of Biosciences (BIB), we don't just teach tools - we t
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Still running basic bioinformatics commands? It’s time to level up. At Bruhaspathi Institute of Biosciences (BIB), we don’t just teach tools — we train you to think like a computational biologist. 🤖 Learn Gene Expression with AI [Price: Rs 500/-] 21/02/2026 10 AM - 12 PM 🔬 Compare GATK vs DeepVariant [Price: Rs 250/-] 17/02/2026 7 PM - 8 PM 🧬 Master Differential Gene Expression [Price: Rs 350/-] 18/02/2026 - 20/02/2026 5 PM - 6 PM 🧪 Build skills in Homology Modeling [Price: Rs 350/-] 18/02/2026 - 20/02/2026 7 PM -8 PM 🧫 Execute a complete Mothur Pipeline [Price: Rs 500/-] 16/02/2026 - 20/02/2026 5 PM - 6 PM 📅 Starts from 16th Feb 2026 Live Skill-Based Sessions Decode Data. Discover Insights. Lead in Bioinformatics. Register at: https://lnkd.in/gyX2GDxy #Bioinformatics #NGS #AIinBiology #Genomics #BIB #SkillDevelopment #LifeSciences
#Ggplot2 R Visualization Reel by @data_indna - Unlock the Power of Bioinformatics & Data Science with DATA in DNA Are you ready to transform biological data into powerful insights? At DATA in DNA,
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@data_indna
Unlock the Power of Bioinformatics & Data Science with DATA in DNA Are you ready to transform biological data into powerful insights? At DATA in DNA, we specialize in Bioinformatics, R Programming, Genomics Data Analysis, and Computational Biology solutions. 🔬 Learn. Analyze. Innovate. 📊 Practical Skills for Real-World Research 💡 Empowering Future Scientists & Data Experts Stay connected and grow with us! 📘 Facebook: https://www.facebook.com/dataindna 📸 Instagram: https://www.instagram.com/data_indna/ 💼 LinkedIn: https://www.linkedin.com/company/dataindna ▶️ YouTube: https://www.youtube.com/@DataInDNA Follow us for updates, course launches, and expert insights in Bioinformatics & Data Science. #dataindna #bioinformatics #rprogramming #genomics #computationalbiology #datascience
#Ggplot2 R Visualization Reel by @nanoschool.in - Master Bioinformatics with Python & R: Analyze Genomics, Transcriptomics, and Proteomics Data. 📩 info@nstc.in #bioinformatics #pythonforbioinformat
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@nanoschool.in
Master Bioinformatics with Python & R: Analyze Genomics, Transcriptomics, and Proteomics Data. 📩 info@nstc.in #bioinformatics #pythonforbioinformatics #datascience #genomics #nstc
#Ggplot2 R Visualization Reel by @omics_logic - 🚨𝐋𝐚𝐬𝐭 𝐂𝐡𝐚𝐧𝐜𝐞 𝐭𝐨 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 - 𝐎𝐧𝐥𝐲 𝟏 𝐃𝐚𝐲 𝐋𝐞𝐟𝐭!💻🧬 𝟑-𝐃𝐚𝐲 𝐇𝐚𝐧𝐝𝐬-𝐎𝐧 𝐎𝐧𝐥𝐢𝐧𝐞 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 𝐁𝐢𝐨𝐦𝐚𝐫�
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🚨𝐋𝐚𝐬𝐭 𝐂𝐡𝐚𝐧𝐜𝐞 𝐭𝐨 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 – 𝐎𝐧𝐥𝐲 𝟏 𝐃𝐚𝐲 𝐋𝐞𝐟𝐭!💻🧬 𝟑-𝐃𝐚𝐲 𝐇𝐚𝐧𝐝𝐬-𝐎𝐧 𝐎𝐧𝐥𝐢𝐧𝐞 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 𝐁𝐢𝐨𝐦𝐚𝐫𝐤𝐞𝐫 𝐈𝐝𝐞𝐧𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐔𝐬𝐢𝐧𝐠 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐏𝐲𝐭𝐡𝐨𝐧. The sessions are designed to help participants work confidently with real gene expression data, guiding them from data preparation to model evaluation and biological interpretation. 📌 𝐖𝐡𝐚𝐭 𝐘𝐨𝐮’𝐥𝐥 𝐋𝐞𝐚𝐫𝐧 - Fundamentals of biomarkers and supervised machine learning - Working with gene expression datasets in Python - Fundamentals of biomarkers and supervised machine learning - Building and evaluating ML models for biomarker discovery - Interpreting model outputs to identify biologically relevant biomarkers 𝐖𝐡𝐨 𝐒𝐡𝐨𝐮𝐥𝐝 𝐀𝐭𝐭𝐞𝐧𝐝: Life science students, bioinformatics and data science learners, and researchers interested in applying machine learning to omics and clinical data. 𝘗𝘺𝘵𝘩𝘰𝘯 𝘧𝘢𝘮𝘪𝘭𝘪𝘢𝘳𝘪𝘵𝘺 𝘪𝘴 𝘩𝘦𝘭𝘱𝘧𝘶𝘭 𝘣𝘶𝘵 𝘯𝘰𝘵 𝘮𝘢𝘯𝘥𝘢𝘵𝘰𝘳𝘺. 𝘛𝘩𝘪𝘴 𝘸𝘰𝘳𝘬𝘴𝘩𝘰𝘱 𝘪𝘴 𝘴𝘶𝘪𝘵𝘢𝘣𝘭𝘦 𝘧𝘰𝘳 𝘣𝘦𝘨𝘪𝘯𝘯𝘦𝘳𝘴 𝘢𝘯𝘥 𝘭𝘪𝘧𝘦 𝘴𝘤𝘪𝘦𝘯𝘤𝘦 𝘳𝘦𝘴𝘦𝘢𝘳𝘤𝘩𝘦𝘳𝘴. 🔗𝑭𝒐𝒓 𝒘𝒐𝒓𝒌𝒔𝒉𝒐𝒑 𝒅𝒆𝒕𝒂𝒊𝒍𝒔 𝒂𝒏𝒅 𝒓𝒆𝒈𝒊𝒔𝒕𝒓𝒂𝒕𝒊𝒐𝒏: https://forms.gle/ZjUFx2Prf7GAeyam9 📅 𝐃𝐚𝐭𝐞: Feb 17 – Feb 19, 2026 🕒 𝐓𝐢𝐦𝐞: 7:30 PM IST | 8:00 AM CST 📍 𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: Online 🔄 Share this post with colleagues who may be interested in biomarker discovery and machine learning applications in biology. #BiomarkerDiscovery #MachineLearning #Python #Bioinformatics #Omics
#Ggplot2 R Visualization Reel by @omics_logic - 💻🧬 𝟑-𝐃𝐚𝐲 𝐇𝐚𝐧𝐝𝐬-𝐎𝐧 𝐎𝐧𝐥𝐢𝐧𝐞 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 𝐁𝐢𝐨𝐦𝐚𝐫𝐤𝐞𝐫 𝐈𝐝𝐞𝐧𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐔𝐬𝐢𝐧𝐠 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧�
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💻🧬 𝟑-𝐃𝐚𝐲 𝐇𝐚𝐧𝐝𝐬-𝐎𝐧 𝐎𝐧𝐥𝐢𝐧𝐞 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 𝐁𝐢𝐨𝐦𝐚𝐫𝐤𝐞𝐫 𝐈𝐝𝐞𝐧𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐔𝐬𝐢𝐧𝐠 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐏𝐲𝐭𝐡𝐨𝐧. The sessions are designed to help participants work confidently with real gene expression data, guiding them from data preparation to model evaluation and biological interpretation. 📌 𝐖𝐡𝐚𝐭 𝐘𝐨𝐮’𝐥𝐥 𝐋𝐞𝐚𝐫𝐧 - Fundamentals of biomarkers and supervised machine learning - Working with gene expression datasets in Python - Fundamentals of biomarkers and supervised machine learning - Building and evaluating ML models for biomarker discovery - Interpreting model outputs to identify biologically relevant biomarkers 𝐖𝐡𝐨 𝐒𝐡𝐨𝐮𝐥𝐝 𝐀𝐭𝐭𝐞𝐧𝐝: Life science students, bioinformatics and data science learners, and researchers interested in applying machine learning to omics and clinical data. 𝘗𝘺𝘵𝘩𝘰𝘯 𝘧𝘢𝘮𝘪𝘭𝘪𝘢𝘳𝘪𝘵𝘺 𝘪𝘴 𝘩𝘦𝘭𝘱𝘧𝘶𝘭 𝘣𝘶𝘵 𝘯𝘰𝘵 𝘮𝘢𝘯𝘥𝘢𝘵𝘰𝘳𝘺. 𝘛𝘩𝘪𝘴 𝘸𝘰𝘳𝘬𝘴𝘩𝘰𝘱 𝘪𝘴 𝘴𝘶𝘪𝘵𝘢𝘣𝘭𝘦 𝘧𝘰𝘳 𝘣𝘦𝘨𝘪𝘯𝘯𝘦𝘳𝘴 𝘢𝘯𝘥 𝘭𝘪𝘧𝘦 𝘴𝘤𝘪𝘦𝘯𝘤𝘦 𝘳𝘦𝘴𝘦𝘢𝘳𝘤𝘩𝘦𝘳𝘴. 🔗𝑭𝒐𝒓 𝒘𝒐𝒓𝒌𝒔𝒉𝒐𝒑 𝒅𝒆𝒕𝒂𝒊𝒍𝒔 𝒂𝒏𝒅 𝒓𝒆𝒈𝒊𝒔𝒕𝒓𝒂𝒕𝒊𝒐𝒏: https://forms.gle/ZjUFx2Prf7GAeyam9 📅 𝐃𝐚𝐭𝐞: Feb 17 – Feb 19, 2026 🕒 𝐓𝐢𝐦𝐞: 7:30 PM IST | 8:00 AM CST 📍 𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: Online 🔄 Share this post with colleagues who may be interested in biomarker discovery and machine learning applications in biology. #BiomarkerDiscovery #MachineLearning #Python #Bioinformatics #Omics

✨ Руководство по #Ggplot2 R Visualization

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