## User: aangajala

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3 months, 1 week ago
Joined:
1 year, 4 months ago
Email:
a********@mytu.tuskegee.edu

#### Posts by aangajala

<prev • 15 results • page 1 of 2 • next >
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... I apologize for this,thanks so much for your time.  ...
written 3 months ago by aangajala0
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... You just made my day saying so :) I did a lot of work yesterday with out removing. So, I was worried. ...
written 3 months ago by aangajala0
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... What is the difference between , using group and interaction? Is it going to give same results? dds <- DESeqDataSetFromMatrix(countData = cts,                               colData = coldata,                               design = ~ type + ER) dds$group <- factor(paste0(dds$type, dds$ER)) des ... written 3 months ago by aangajala0 1 answers 191 views 1 answers ... Thank you. What will happen if I do not remove. Then it will just overwrite the dds, so basically it is new dds right? or does it append the dds , I mean mix with the previous one? ... written 3 months ago by aangajala0 1 answers 191 views 1 answers ... Here is my Coldata, I am trying to verify what I am doing is correct? ... written 3 months ago by aangajala0 1 answers 191 views 1 answers ... > head(coldata) sampletype race androgen_receptor_statu TCGA.3C.AAAU.01A.11R.A41G.13 Primary Tumor white positive TCGA.3C.AALI.01A.11R.A41G.13 Primary Tumor black or african american negative TC ... written 3 months ago by aangajala0 1 answer 191 views 1 answer ... Question #1: I tried to look the documentation for interaction.But, Unable to understand difference between groups and interaction.So difference between following codes, Is it basically same, different ways of doing it? dds$group <- factor(paste0(dds$race, dds$sampletype)) design(dds) <- ~ g ...
written 3 months ago by aangajala0 • updated 3 months ago by Michael Love17k
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... Sorry... design(ddsMF) <- formula(~ type + condition) My question is how many variables can we give. Here in this code only two variables are used? Or is there a limit? ...
written 3 months ago by aangajala0 • updated 3 months ago by Michael Love17k
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... Hello, I have multiple conditions, such as condition1( Normal and Cancer), condition2( age bellow 50 and above50), so I want to see DEGs of age in Normal samples and cancer. So for this do I have produce dds twice by separating coldata , one for normal and one for primary. And then use condition fo ...
written 3 months ago by aangajala0 • updated 3 months ago by Michael Love17k
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Comment: C: Normalization using DESeq
... Okay thank you so much. ...
written 16 months ago by aangajala0

#### Latest awards to aangajala

Popular Question 14 months ago, created a question with more than 1,000 views. For Normalization using DESeq

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