Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • frymor
    Senior Member
    • May 2010
    • 151

    estimazing size factor in DESeq

    Hi,

    I am using Deseq to analyze my data. I have three replica for each of the two conditions.

    When I am running the script in the normal way:
    Code:
    cds = newCountDataSet( Counts_set, condition )
    cds = estimateSizeFactors( cds ) # uses the median as location function
    cds = estimateDispersions( cds )
    I get the following error massage:
    Code:
    [COLOR="Red"]There were 16 warnings (use warnings() to see them)
    > warnings()
    Warning messages:
    1: In log(ifelse(y == 0, 1, y/mu)) : NaNs produced
    2: step size truncated due to divergence
    ...
    [/COLOR]
    The dispersion plot looks like that:
    Click image for larger version

Name:	DispersionPlot.png
Views:	1
Size:	50.2 KB
ID:	308351

    but with fitType="local" ot looks like that:
    Click image for larger version

Name:	DispersionPlotLocal.png
Views:	1
Size:	49.1 KB
ID:	308352

    When I am doing the same analysis, but with fitType="local" the warnings disappears.
    I read that this happens ,When One is using the analysis without replica, but I have three for each condition.
    Is it preferable to run the analysis with local fit type?

    What is the meaning of these warnings?

    Thanks,
    Assa
  • dpryan
    Devon Ryan
    • Jul 2011
    • 3478

    #2
    For those coming to this late, this was picked up on the Bioconductor email list.

    Comment

    Latest Articles

    Collapse

    • SEQadmin2
      Advanced Sequencing Platforms Tackle Neuroscience’s Toughest Genomics Problems
      by SEQadmin2



      Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
      ...
      07-09-2026, 11:10 AM
    • SEQadmin2
      Cancer Drug Resistance: The Lingering Barrier to Rising Survival
      by SEQadmin2



      Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.

      There is no single reason why many patients don’t respond to treatment as expected. Cancer is...
      07-08-2026, 05:17 AM
    • GATTACAT
      Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing
      by GATTACAT
      Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
      07-01-2026, 11:43 AM

    ad_right_rmr

    Collapse

    News

    Collapse

    Topics Statistics Last Post
    Started by SEQadmin2, 07-13-2026, 10:26 AM
    0 responses
    15 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-09-2026, 10:04 AM
    0 responses
    29 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-08-2026, 10:08 AM
    0 responses
    16 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-07-2026, 11:05 AM
    0 responses
    34 views
    0 reactions
    Last Post SEQadmin2  
    Working...