Researchers from Genentech and Stanford University Develop an Iterative Perturb-seq Procedure Leveraging Machine Learning for Efficient Design of Perturbation Experiments

Researchers from Genentech and Stanford University Develop an Iterative Perturb-seq Procedure Leveraging Machine Learning for Efficient Design of Perturbation Experiments AI News, AI, AI tools, Dhanshree Shripad Shenwai, Innovation, itinai.com, LLM, MarkTechPost, t.me/itinai 🚀 Exciting News! Researchers from Genentech and Stanford University have revolutionized Perturb-Seq by integrating machine learning to optimize perturbation experiments. Here's what you need to know: 🧬 Practical Solutions and Value: - The Perturb-Seq method enables precise cell engineering, illuminates gene regulation, and identifies target genes for potential therapeutic intervention. - Machine learning models predict perturbation outcomes, leveraging existing Perturb-Seq datasets to forecast gene expression results for unseen perturbations and gene combinations. - The approach involves conducting the Perturb-Seq assay in a wet-lab setting and implementing a machine learning model with an interleaving sequential optimal design approach, minimizing the number of experiments required. - To address active learning in a budget context, the team introduces ITERPERT (ITERative PERTurb-seq), which supplements data with publicly available prior knowledge, especially in early stages and when resources are limited. 🤖 AI for Business Evolution: - Embrace the iterative Perturb-Seq procedure to propel your company's AI evolution, gain a competitive edge, and harness the power of AI for your business advantage. 🔗 Useful Links: - AI Lab in Telegram @aiscrumbot – free consultation - Read more about the research: [Link to MarkTechPost article] - Stay updated with itinai.com's AI insights on Telegram and Twitter. For AI-powered customer engagement and continuous AI insights, connect with us at hello@itinai.com and explore the AI Sales Bot at itinai.com/aisalesbot. Let's unlock the potential of AI together! 🌟 #AI #PerturbSeq #MachineLearning #BusinessEvolution