User: John
John • 0
- Reputation:
- 0
- Status:
- New User
- Last seen:
- 8 months ago
- Joined:
- 4 years, 5 months ago
- Email:
- p*********@googlemail.com
Profile information, website and location are not shown for new users.
This helps us discourage the inappropriate use of our site.
Posts by John
<prev
• 10 results •
page 1 of 1 •
next >
0
votes
2
answers
621
views
2
answers
... Hello Aaron,
Thank you for a very quick answer and good explanation to quench curiosity, which I can understand. Yes, I understand it is not a good thing, as I stated too.
As for your technical replicate question, yes and no. What I mean is, the technical replicates for each bio replicate have the ...
written 2.6 years ago by
John • 0
0
votes
2
answers
1.8k
views
2
answers
... Hello Bernd,
Thank you very much for your help and advice, for a comprehensive answer, very helpful. The publications also great.
For random interest, I have also noticed the Limma removeBatchEffect function in addition to SVA and RUV, which seems to work pretty well on my data.
best,
John.
...
written 2.6 years ago by
John • 0
3
votes
2
answers
621
views
2
answers
... Hello.
I have data that has 2 treatment groups (6 samples, 3 bio reps each group). For each bio rep, I have 9 technical reps, so 54 total samples. I have a co-variate of number of mutations and a date of experiment of batch effect. The size of the gene expression matrix = 5000 genes by 54 samples. ...
written 2.6 years ago by
John • 0
0
votes
2
answers
1.8k
views
2
answers
... Dear Bernd,
Thanks for an interesting post and a useful answer to it.
This extraction of frozen data has helped me. I also view PCA of data with batches removed. Great, it seems from PCA that SVA is working very well.
Please can you explain this comment?
PS: Do not use the cleaned data for dow ...
written 2.6 years ago by
John • 0
0
votes
2
answers
618
views
2
answers
... Thanks Gavin for the clear logic in your answer and a solution, that helps a lot.
John.
...
written 3.6 years ago by
John • 0
0
votes
2
answers
618
views
2
answers
... Thanks for the answer and code. I understand this is similar to section 9.4.1 of the Limma manual.
I thought the empty vector is related to the geneInsert samples, as that same vector is used in both sample groups; 1) to insert the gene and 2) the vector alone without the gene insert. Some genes wi ...
written 3.6 years ago by
John • 0
2
votes
2
answers
618
views
2
answers
... Hello.
I have a targets file as follows;
treat sibship
file1 GeneInsert 1
file2 GeneInsert 2
file4 EmptyVector 1
file5 EmptyVector 2
file7 no_treatment 1
file8 no_treatment 2
Treat = treatment by tranfsection of an interesting gene, or with an empty vector transfec ...
written 3.6 years ago by
John • 0
0
votes
2
answers
3.2k
views
2
answers
... Dear James and Ryan,
That information is interesting and very helpful, thank you.
John.
...
written 4.5 years ago by
John • 0
8
votes
2
answers
3.2k
views
2
answers
... Dear List,
I have read a useful segment from a BioStar post on using DESeq with ERCC controls to normalize RNAseq counts.
Contained on the page (https://www.biostars.org/p/81803/), is the statement;
"Read in the count data, subset the resulting matrix such that it includes only the spike-ins, cr ...
written 4.5 years ago by
John • 0
Latest awards to John
Popular Question
3.5 years ago,
created a question with more than 1,000 views.
For edgeR and Normalization of RNAseq data using ERCC controls
Use of this site constitutes acceptance of our User
Agreement
and Privacy
Policy.
Powered by Biostar
version 16.09
Traffic: 110 users visited in the last hour