User: miyuki_iii

gravatar for miyuki_iii
miyuki_iii0
Reputation:
0
Status:
New User
Last seen:
3 years, 3 months ago
Joined:
3 years, 4 months ago
Email:
m*********@hotmail.es

Profile information, website and location are not shown for new users.

This helps us discourage the inappropriate use of our site.

Posts by miyuki_iii

<prev • 3 results • page 1 of 1 • next >
0
votes
1
answer
1.5k
views
1
answers
Comment: C: Limma contrast for variables disease, gender and age
... Again, many thanks for your useful help. I achieved results, and I understood and learned to do something else. Problem solved! ...
written 3.4 years ago by miyuki_iii0
0
votes
1
answer
1.5k
views
1
answers
Comment: C: Limma contrast for variables disease, gender and age
... Thanks a lot for for your answer and helping me!!!! However, I tried to follow your instructions, but I don't know how to build it well :-S age= pData(gse)[,"age"] gender= pData(gse)[,"gender"] disease= pData(gse)[,"disease"] age.group= ifelse(age>40,"over40", "under40") design = model.matrix ...
written 3.4 years ago by miyuki_iii0
4
votes
1
answer
1.5k
views
1
answer
Limma contrast for variables disease, gender and age
... Hi, I'm a student and I have doubts about how use Limma to contrast the differencial gene expression evaluating my three variables: disease (case/control), gender(male/female) and age. My data is like this: (three columns with the gender, age and the disease) > head(pData(gse))                 ...

Latest awards to miyuki_iii

No awards yet. Soon to come :-)

Help
Access

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.
Powered by Biostar version 16.09
Traffic: 467 users visited in the last hour