Transcriptomics 2: statistical analysis of gene expression

แชร์
ฝัง
  • เผยแพร่เมื่อ 14 ต.ค. 2024
  • 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: edu.t-bio.info...
    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:
    learn.omicslog...
    Other videos about bioinformatics:
    • OmicsLogic Metagenomic...
    • OmicsLogic: Introduct...
    • Data Science for Bioin...
    We offer bioinformatics training and analysis software, check them out here:
    learn.omicslog...
    server.t-bio.info
    Learn more about our team here:
    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

ความคิดเห็น •