Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • NGS_user
    Junior Member
    • Nov 2010
    • 9

    #1

    Statistical analysis

    Hi folks,
    I am a bit confused as to the possible statistical tools I could use in my analyses. Basically I have a number of observed genes for each gene family and a list of the number of known genes per family. the numbers of the observed are much much lower than the expected as I used universal primers and have smaller subsets of these gene families. If I do a chi square test it tells me I have significant differences. My distribution visually looks the same as the expected distribution so the of genes are similar relative to the other families, is there some statistical analysis where I can compare numbers of observed and expected with respect to other observed and expected numbers?
  • colindaven
    Senior Member
    • Oct 2008
    • 417

    #2
    Sounds like the Chi square test you've already done would be helpful. Check out the means, medians and distribution.

    Also check the Chi square value. You might want to control for multiple testing with Bonferroni correction as you may indeed only have a tiny variation in your data which is "significant" because of many tests.

    Comment

    Latest Articles

    Collapse

    • SEQadmin2
      Beyond CRISPR/Cas9: Understand, Choose, and Use the Right Genome Editing Tool
      by SEQadmin2



      CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).

      Despite this, “CRISPR helped turn genome editing from a specialized technique into
      ...
      07-31-2026, 11:01 AM
    • SEQadmin2
      Proteomic Platforms: How to Choose the Right Analytical Strategy to Improve Detection and Clinical Applications
      by SEQadmin2


      Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.

      The systematic characterization of the human proteome has
      ...
      07-20-2026, 11:48 AM

    ad_right_rmr

    Collapse

    News

    Collapse

    Topics Statistics Last Post
    Started by SEQadmin2, Yesterday, 10:35 AM
    0 responses
    7 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 08-06-2026, 07:41 AM
    0 responses
    25 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 08-03-2026, 10:13 AM
    0 responses
    44 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-31-2026, 02:55 AM
    0 responses
    48 views
    0 reactions
    Last Post SEQadmin2  
    Working...