User: klalit1803

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klalit18030
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Posts by klalit1803

<prev • 6 results • page 1 of 1 • next >
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Comment: C: how to control age and gender effect in expression data using DESeq2
... Dear Dr. Michael,  As I discussed with you I used this design for diff. expression analysis.  design (a) dds=(design=~age+gender+visit+phenotype+visit:phenotype) dds=DESeq(dds,test="LRT", reduced=~age+gender) However, I have one question that should I use gender and age interaction with phenotyp ...
written 6 months ago by klalit18030
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Comment: C: how to control age and gender effect in expression data using DESeq2
... Thank you so much for reply. Many thanks, Lalit ...
written 6 months ago by klalit18030
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Comment: A: how to control age and gender effect in expression data using DESeq2
... Dear Dr. Michael Love, Thank you so much for the reply. Actually, I break the age in two part. I found median age in  my data and used age as factor variable to define age as more than median and below median. So now in my dataset age has two group more than median age and less than median age. I a ...
written 6 months ago by klalit18030
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Comment: C: DESeq2 design to control age and gender effect
... Dear Dr. Michael Love, Thank you for your message. Can you please suggest me which design I should follow for the analysis: design 1: dds=(design= ~age+gender+visit+phenotype+visit:phenotype+age:phenotype+gender:phenotype) dds=DESeq(dds) design 2: dds=(design=~age+gender+visit+phenotype+visit:p ...
written 6 months ago by klalit18030
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how to control age and gender effect in expression data using DESeq2
... I have a dataset where I want to see effect of a drug on my patients who responded and not responded towards treatment. I collected their blood at three different time point or visit. For each patient I have their age and sex information with me. Now to perform differential expression analysis I use ...
rnaseq deseq2 differential gene expression mirna-seq written 6 months ago by klalit18030 • updated 6 months ago by jennietodd1410
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(Closed) DESeq2 design to control age and gender effect
... I have a dataset where I want to see effect of a drug on my patients who responded and not responded towards treatment. I collected their blood at three different time point or visit. For each patient I have their age and sex information with me. Now to perform differential expression analysis I use ...

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