Transcriptomics 2 statistical analysis of gene expression

>> YOUR LINK HERE: ___ http://youtube.com/watch?v=FvXZNMFe1r8

Transcriptomics 2 is a course about gene expression analysis. After we processed the data and obtained the gene expression table, how can we use it to study variation in expression between conditions? We will use the example we started in Transcriptomics 1 to learn about statistical analysis methods that will help us understand the difference between ER+ and TN breast cancer subtypes. Other elements of statistical analysis like p-value, false discovery rate , t-test and regression will be covered. Learn more: https://edu.t-bio.info/course/transcr... • ABOUT OUR CHANNEL • Our channel is about bioinformatics and its application to various biomedical and biotechnology challenges. We cover lots of cool topics on data analysis, machine learning and various technologies that generate high-throughput data like genomics, transcriptomics, metagenomics, epigenomics and others. • Check out our channel here: • / pine-biotech • Don’t forget to subscribe! • All of this content and more can be found on our training portal: • https://learn.omicslogic.com • Other videos about bioinformatics: • • OmicsLogic Metagenomics: Studying Mic... • • OmicsLogic: Introduction to Bioinfor... • • Data Science for Bioinformatics | Pin... • We offer bioinformatics training and analysis software, check them out here: • https://learn.omicslogic.com • https://server.t-bio.info • Learn more about our team here: • https://pine-biotech.com • GET IN TOUCH! • Contact us on marketing at omicslogic.com • FOLLOW US ON SOCIAL: • Get updates or reach out to Get updates on our Social Media Profiles! • Twitter: / pinebiotech • Facebook: / pinebiotech • Instagram: / bioinformaticspine • LinkedIn: / omicslogic

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