Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • IsBeth
    Member
    • Nov 2013
    • 28

    #1

    Mathematical fool

    Hello!

    Well my problem is that I'm a Biologist and so I've got no much statistical or mathematical background to understand some procedures in R. (I'm working in differential expression of RNA-seq data nowadays). What should I read or do to help me through? Are there some specific books or lessons that could be useful for people like me?

    Thank you in advance!
  • dpryan
    Devon Ryan
    • Jul 2011
    • 3478

    #2
    Read through the DESeq2 vignette (or that from edgeR or limma). In particular, they generally have test datasets so you can follow along with how an analysis works. Other than that, you might try taking a short course on RNAseq from one of the many companies that seem to be popping up to offer that.

    Comment

    • TiborNagy
      Senior Member
      • Mar 2010
      • 329

      #3
      I am learn a lot from Coursera.
      There is an article to help improving your skills:
      Online learning initiatives over the past decade have become increasingly comprehensive in their selection of courses and sophisticated in their presentation, culminating in the recent announcement of a number of consortium and startup activities that promise to make a university education on the internet, free of charge, a real possibility. At this pivotal moment it is appropriate to explore the potential for obtaining comprehensive bioinformatics training with currently existing free video resources. This article presents such a bioinformatics curriculum in the form of a virtual course catalog, together with editorial commentary, and an assessment of strengths, weaknesses, and likely future directions for open online learning in this field.

      Comment

      • Michael Love
        Senior Member
        • Jul 2013
        • 333

        #4
        Rafael Irizarry and I put together the Data Analysis for Genomics class on edx.

        Rafa's lectures (as well as all course content) are free to watch.

        You could jump to the differential expression content in week 3, which covers statistical inference and linear models.



        The lecture notes are here (still be polished up):

        Comment

        • IsBeth
          Member
          • Nov 2013
          • 28

          #5
          Thank you very much, all of you!

          I think your advices and links will help me a lot

          Comment

          Latest Articles

          Collapse

          • SEQadmin2
            Multiomic Liquid Biopsy: What DNA/RNA Panels Reveal That DNA Alone Can’t
            by SEQadmin2



            Tumors contain complex mixtures of cell populations that evolve in response to treatment and host-specific factors. Tissue biopsies provide only static snapshots of a tumor’s state. But what if we could follow that evolution over time using a minimally invasive technique?

            Liquid biopsies can detect tumor-derived material circulating in the bloodstream, providing a way to study treatment response, detect emerging resistance, and discover new biomarkers. Circulating
            ...
            10-14-2026, 09:55 AM
          • SEQadmin2
            New Genomics Technologies Take Aim at Long-Standing Limits
            by SEQadmin2


            Researchers using sequencing and genomics tools often have to make trade-offs. They can choose between speed or scale, short reads or long-range information, or targeted panels or a view of the whole transcriptome. New technologies that have been released this year are built to address those tough choices.

            We asked six companies the same four questions to learn about their latest products. The new technologies bring a lot to the table, including rethinking sequencing
            ...
            09-28-2026, 10:25 AM

          ad_right_rmr

          Collapse

          News

          Collapse

          Topics Statistics Last Post
          Started by SEQadmin2, Yesterday, 11:13 AM
          0 responses
          21 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, Yesterday, 10:48 AM
          0 responses
          18 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 10-15-2026, 10:52 AM
          0 responses
          36 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 10-14-2026, 05:39 AM
          0 responses
          42 views
          0 reactions
          Last Post SEQadmin2  
          Working...