Seqanswers Leaderboard Ad

Collapse

Announcement

Collapse
No announcement yet.
X
 
  • Filter
  • Time
  • Show
Clear All
new posts

  • how to make ANCOVA in two indenpendent dataset

    for example, there are two gene expression microarray datasets,

    samples 1
    gene 14 year-old 25 year-old .....

    LDH 0.2 0.8 ....

    samples 2
    gene 12 year-old 20year-old .....

    LDH 0.25 0.78

    if i know the LDH gene expression level is increasing with age, I want to know the correlataion of the gene expression change in aging process between two samples, how i calculated the Pearson correlation. and how I make a ANCOVA in the above LDH expression between the two samples.

  • #2
    Two decent introductions into ANCOVA



    Comment


    • #3
      thank you for your information. and here i want to ask how to handle the dataset. because the age and number of samples are different. the data is not paired. like ancova(x,y), the vector x,y should be same length and paired, right?

      Comment


      • #4
        Hmmm good question. I think someone with a stats background (i.e. not me) could answer your question accurately, but I'll have a guess:

        I think you would do two separate ANCOVAs, one each for you two age brackets. From these I believe you could compare the correlation p values, but not the slopes i.e. the effect size. For this I think you would need to use something like as Tukey's ad hoc test.

        Don't hold me to that!
        You should get advice from someone with more knowledge on the matter than I can provide.

        J

        Comment


        • #5
          thank you very much again, someone told me that the dataset can be fitting with R package "spline.smooth" first and then make ANCOVA ~

          Comment

          Latest Articles

          Collapse

          • seqadmin
            Recent Advances in Sequencing Analysis Tools
            by seqadmin


            The sequencing world is rapidly changing due to declining costs, enhanced accuracies, and the advent of newer, cutting-edge instruments. Equally important to these developments are improvements in sequencing analysis, a process that converts vast amounts of raw data into a comprehensible and meaningful form. This complex task requires expertise and the right analysis tools. In this article, we highlight the progress and innovation in sequencing analysis by reviewing several of the...
            05-06-2024, 07:48 AM
          • seqadmin
            Essential Discoveries and Tools in Epitranscriptomics
            by seqadmin




            The field of epigenetics has traditionally concentrated more on DNA and how changes like methylation and phosphorylation of histones impact gene expression and regulation. However, our increased understanding of RNA modifications and their importance in cellular processes has led to a rise in epitranscriptomics research. “Epitranscriptomics brings together the concepts of epigenetics and gene expression,” explained Adrien Leger, PhD, Principal Research Scientist...
            04-22-2024, 07:01 AM

          ad_right_rmr

          Collapse

          News

          Collapse

          Topics Statistics Last Post
          Started by seqadmin, 05-14-2024, 07:03 AM
          0 responses
          17 views
          0 likes
          Last Post seqadmin  
          Started by seqadmin, 05-10-2024, 06:35 AM
          0 responses
          40 views
          0 likes
          Last Post seqadmin  
          Started by seqadmin, 05-09-2024, 02:46 PM
          0 responses
          50 views
          0 likes
          Last Post seqadmin  
          Started by seqadmin, 05-07-2024, 06:57 AM
          0 responses
          41 views
          0 likes
          Last Post seqadmin  
          Working...
          X