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shiny
•
reset
0
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0
replies
913
views
Displaying large image stacks (e.g. from multiplexed immunohistochemistry) using shiny and EBImage
shiny
EBImage
3.3 years ago
Wolfgang Huber
★ 13k
0
votes
1
reply
1.3k
views
Error in ChAMP GUI
ChAMP
shiny
ChAMPdata
updated 3.6 years ago by
anna.stanislawska
• 0 • written 3.6 years ago by
Mari
• 0
0
votes
0
replies
1.1k
views
Export Results from BatchQC Shiny App
BatchQC
RNA-seq
R
Shiny
batch-effect
5.5 years ago
manninm
• 0
0
votes
1
reply
1.3k
views
AnnotationHub display() gives JavaScript Alert and DataTables warning
AnnotationHub
Shiny
Rstudio
updated 5.6 years ago by
shepherl
4.2k • written 5.6 years ago by
bwiley4
• 0
6
votes
0
replies
1.7k
views
News:
Winners of the 1st Shiny Contest: iSEE
iSEE
shiny
summarizedExperiment
News
6.5 years ago
Aaron Lun
★ 29k
0
votes
7
replies
2.1k
views
Problems with DESeq2 'design' parameter using Shiny/rhandsontable
deseq2
shiny
design
rhandsontable
hot_to_r()
updated 6.6 years ago by
Michael Love
43k • written 6.6 years ago by
hinkel2
• 0
0
votes
1
reply
2.5k
views
DEBrowser shiny - Maximum upload size exceeded - error
DEBrowser
shiny
6.8 years ago
tomasfly
• 0
0
votes
3
replies
2.0k
views
browseGenome with Shiny
rtracklayer
browsegenome
shiny
updated 7.0 years ago by
Michael Lawrence
★ 11k • written 7.0 years ago by
vivek82
• 0
12
votes
3
replies
6.8k
views
Error while uploading Bioconductor packages - R Shiny
shiny
package
deploy
7.6 years ago
lloyd.izard
▴ 80
3
votes
3
replies
1.8k
views
Sharing SC3_interactive results
SC3
single-cell
shiny
updated 8.4 years ago by
Vladimir Kiselev
▴ 150 • written 8.4 years ago by
cfustero
▴ 20
0
votes
1
reply
2.0k
views
News:
Plotly uprading issue in ChAMP package
ChAMP
Epigenetics
plotly
Shiny
GUI
News
9.0 years ago • updated 8.8 years ago
Yuan Tian
▴ 90
0
votes
1
reply
1.5k
views
R packages developed using shiny
shiny
updated 9.0 years ago by
Martin Morgan
25k • written 9.0 years ago by
bhakti.dwivedi
• 0
1
vote
1
reply
1.7k
views
reactive CellCODE heatmap
cellcode
shiny
heatmap
updated 9.5 years ago by
Andrzej Oleś
▴ 750 • written 9.5 years ago by
christopher.clarskon15
▴ 20
0
votes
1
reply
2.0k
views
shiny account on mac not deploying server
limmagui
shiny
9.6 years ago
christopher.clarskon15
▴ 20
7
votes
0
replies
4.4k
views
Tutorial:
New edX "Data analysis for Life Sciences" module: High performance computing for reproducible genomics
annotation
genomicranges
visualization
docker
shiny
Tutorial
9.6 years ago
Vincent J. Carey, Jr.
6.7k
0
votes
0
replies
2.1k
views
Shiny - error messages with validate
R
validate
shiny
10.0 years ago
alptaciroglu
▴ 50
1
vote
7
replies
3.4k
views
Shiny app for RefNet, PSICQUIC: annotated protein/protein interactions
shiny
network
interactions
11.0 years ago
pshannon
▴ 100
17 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
Oh. ``` > z <- read10xCounts(c(tmpdir, tmpdir), mtx.class = "SVT_SparseMatrix", delayed = TRUE) > class(counts(z)) [1] "DelayedMatrix" att…
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in
by
James W. MacDonald
68k
That's weird. Using the example data works for me. ``` > example(read10xCounts) rd10xC> # Mocking up some 10X genomics output. rd10xC> ex…
Comment: Join BOC Sciences at Drug Discovery Chemistry
by
teamardigen
• 0
Sounds like an exciting event for anyone passionate about small molecule innovation. The focus on discovery and optimization really drives …
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in
by
dan.gatti
• 0
I am, but perhaps I'm not understanding how it should work. > sse = DropletUtils::read10xCounts(curr_files[1], mtx.class = 'SVT_Sparse…
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in
by
James W. MacDonald
68k
Did you use the development version as Aaron suggested? There is an argument to read the market matrix file directly into an `SVT_SparseMat…
Votes
DESeq2 for candidate gene analysis
Join BOC Sciences at Drug Discovery Chemistry
Drug datasets for RNA-seq
Comment: Check removeBatchEffect effectiveness
Comment: Streamlining the computing time for MiloDE p-value correction in large dataset?
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