Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • Sharmi
    Junior Member
    • Apr 2014
    • 7

    #1

    gene expression in log scale and qPCR miRNA expression data

    Hi,

    I am new to genomics and I have a few questions on gene and miRNA expression data -
    1. to convert gene expression data to log scale we do - log(base2)(Gene expression +4). Why do we add a 4? I searched for answers online but did not get one.
    2. I want to do a linear regression on gene expression data and miRNA data, i. e. if Y is gene expression data and A is miRNA expression data and X is the regulatory binary matrix between the two, then Y=X.A. But the gene expression I have is micro-array data and the miRNA is qPCR data. Is it possible to still use the regression equation? The papers I have read on mRNA-miRNA regression all use micro array data so I am not use how to use the data I have.

    Thanks so much!
  • diego diaz
    Member
    • Oct 2013
    • 62

    #2
    I think that 4 is a pseudo-count. It is used because the log of 0 is -inf. Then, when you transform your expression data to log, you have to add a pseudo-count to avoid those -inf values, generated for genes with 0 expression value.

    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, 10:52 AM
    0 responses
    8 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 10-14-2026, 05:39 AM
    0 responses
    19 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 10-13-2026, 09:56 AM
    0 responses
    16 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 10-09-2026, 11:14 AM
    0 responses
    27 views
    0 reactions
    Last Post SEQadmin2  
    Working...