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GOTHiC
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0
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9
replies
1.7k
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from denove contig assembly to chromosome bins
diffhic
gothic
hicup
hic-c
hic
updated 6.0 years ago by
Aaron Lun
★ 28k • written 6.0 years ago by
mictadlo
▴ 10
0
votes
1
reply
1.1k
views
Error in scanBam(bam_fn) : could not find function "scanBam"
hic
diffhic
gothic
hicup
hic-c
6.0 years ago
mictadlo
▴ 10
0
votes
3
replies
1.2k
views
GOTHiC's GOTHiC's function fails with bwa input
GOTHiC
6.1 years ago
alongalor
▴ 10
0
votes
0
replies
916
views
GOTHiC odd output
gothic
8.4 years ago
manduchi
▴ 10
0
votes
3
replies
1.8k
views
GOTHiC hg19 error
GOTHiC
hic
9.2 years ago
Nathan Sheffield
▴ 10
4
votes
20
replies
2.8k
views
scaling loess curves
HiTC
gothic
diffhic
HiC
9.2 years ago
Bogdan
▴ 670
0
votes
1
reply
3.9k
views
Error in FUN(X[[i]], ...) : subscript out of bounds
bioconductor
gothic
R
updated 9.4 years ago by
Vicky_Tche
• 0 • written 9.5 years ago by
sv380
• 0
0
votes
0
replies
1.3k
views
GOTHiC seqlevel bug
GOTHiC
software error
9.6 years ago
bef22
• 0
8 results • Page
1 of 1
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Answer: Deseq2 res Function
by
Michael Love
43k
> Does this mean the young and KO groups were numerators and denominators in the analysis, respectively? Read over the vignette and work…
Answer: ANOVA like approach of edgeR
by
Gordon Smyth
51k
You need to clarify whether interactions are present for the two factors in your study. In the two factors do not interact, then the code y…
Answer: Create Illmina bead summary data
by
Gordon Smyth
51k
GenomeStudio produces IDAT files that you can read using the `read.idat` function in limma. That is the recommended way to read GenomeStudi…
Comment: Help with RSEM counts: do I transpose matrix?
by
NB
• 0
OK thank you.
Comment: Help with RSEM counts: do I transpose matrix?
by
James W. MacDonald
67k
You can ask here, but please read the `DESeq2` vignette first, which should answer most questions.
Votes
Comment: Is it recommended to analyze different tissues together when using edgeR
Answer: Deseq2 res Function
Answer: BiocNeighbours Utility for k-Nearest Neighbour Classification
Answer: ANOVA like approach of edgeR
Answer: ANOVA like approach of edgeR
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