## User: aangajala

aangajala20
Reputation:
20
Status:
New User
Location:
Last seen:
11 months, 1 week ago
Joined:
1 year, 11 months ago
Email:
a********@mytu.tuskegee.edu

#### Posts by aangajala

<prev • 15 results • page 1 of 2 • next >
1
answer
282
views
1
answers
... I apologize for this,thanks so much for your time.  ...
written 11 months ago by aangajala20
1
answer
282
views
1
answers
... You just made my day saying so :) I did a lot of work yesterday with out removing. So, I was worried. ...
written 11 months ago by aangajala20
1
answer
282
views
1
answers
... 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$ER)) des ... written 11 months ago by aangajala20 1 answer 282 views 1 answers ... Thank you. What will happen if I do not remove. Then it will just overwrite the dds, so basically it is new dds right? or does it append the dds , I mean mix with the previous one? ... written 11 months ago by aangajala20 1 answer 282 views 1 answers ... Here is my Coldata, I am trying to verify what I am doing is correct? ... written 11 months ago by aangajala20 1 answer 282 views 1 answers ... > head(coldata) sampletype race androgen_receptor_statu TCGA.3C.AAAU.01A.11R.A41G.13 Primary Tumor white positive TCGA.3C.AALI.01A.11R.A41G.13 Primary Tumor black or african american negative TC ... written 11 months ago by aangajala20 1 answer 282 views 1 answer ... Question #1: I tried to look the documentation for interaction.But, Unable to understand difference between groups and interaction.So difference between following codes, Is it basically same, different ways of doing it? dds$group <- factor(paste0(dds$race, dds$sampletype)) design(dds) <- ~ g ...
written 11 months ago by aangajala20 • updated 11 months ago by Michael Love21k
1
answer
176
views
1
answers
... 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 11 months ago by aangajala20 • updated 11 months ago by Michael Love21k
1
answer
176
views
1
answer
... 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 11 months ago by aangajala20 • updated 11 months ago by Michael Love21k
1
answer
2.1k
views
1
answers
Comment: C: Normalization using DESeq
... Okay thank you so much. ...
written 23 months ago by aangajala20

#### Latest awards to aangajala

Popular Question 21 months ago, created a question with more than 1,000 views. For Normalization using DESeq

Content
Help
Access

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.
Powered by Biostar version 16.09
Traffic: 126 users visited in the last hour