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rdgidb
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461
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queryDGIdb lexical error for some genes
lexicalerror
rDGIdb
DGIdb
json
18 months ago
Dennis
• 0
0
votes
6
replies
1.0k
views
rDGIdb package inconsistency with web interface
rDGIdb
22 months ago
christopherjamessteel1990
• 0
0
votes
0
replies
832
views
rDGIdb package: score of the results
rDGIdb
r
2.6 years ago
HELEN
• 0
0
votes
0
replies
747
views
Timeout error when querying DGIDB
rDGIdb
3.3 years ago
Jannah
• 0
0
votes
0
replies
698
views
DGIdb service not available
rDGIdb
3.7 years ago
DannyM
• 0
0
votes
0
replies
882
views
Is there currently something wrong with the rDGIdb API?
rDGIdb
4.9 years ago
mike-zx
• 0
0
votes
1
reply
1.3k
views
What happends with a package in submission through the old issue tracker?
github
package submission
rDGIdb
issue tracker
updated 9.3 years ago by
Martin Morgan
25k • written 9.3 years ago by
Thomas Thurnherr
• 0
7 results • Page
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Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in
by
James W. MacDonald
68k
Aaron already answered your question. If you have an HDF5 file, it will be read in as a `TENxMatrix` object, which isn't actually read in -…
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in
by
dan.gatti
• 0
Very strange. We have the same package versions. I tried adding the mtx.class, type, and delayed arguments, but it's still making the coun…
Comment: DESeq2 for candidate gene analysis
by
piffelpaff
▴ 20
thank you so much for answering Dr. Love!
Answer: DESeq2 for candidate gene analysis
by
Michael Love
43k
Your plan 1 is reasonable. Run DESeq2 on the whole dataset to obtain size factors and moderated dispersion estimates and then extract the u…
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in
by
James W. MacDonald
68k
Oh. ``` > z <- read10xCounts(c(tmpdir, tmpdir), mtx.class = "SVT_SparseMatrix", delayed = TRUE) > class(counts(z)) [1] "DelayedMatrix" att…
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A: Multi-level experiments in Limma
Answer: Should voomWithQualityWeights still be used when the sample-specific weights var
Answer: DESeq2 for candidate gene analysis
DESeq2 for candidate gene analysis
Answer: DESeq2 for candidate gene analysis
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