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GDCquery
•
reset
0
votes
2
replies
4.2k
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Workflow type=Star_counts, I want to download FPKM or TPM values, but star_counts for which?
GDCquery
3.3 years ago
yuanyuan
• 0
0
votes
0
replies
1.4k
views
TCGAbiolinks specific mutation query
TCGAbiolinks
TCGA
Mutation
GDCquery
rnaseq
6.6 years ago
Yonatan Amzaleg
• 0
0
votes
0
replies
1.8k
views
Error in value[[3L]](cond) : GDC server down, try to use this package later
GDCquery
7.3 years ago
sechenmo
• 0
0
votes
0
replies
892
views
how include slicing to manifest
gdcquery
7.5 years ago
dvortsov
• 0
1
vote
2
replies
2.1k
views
TCGABiolinks::GDCquery() suddenly sending back unknown error
software error
error
tcgabiolinks
GDCquery
updated 7.9 years ago by
eshelden
▴ 40 • written 7.9 years ago by
jrlarsen
▴ 10
5 results • Page
1 of 1
Recent ...
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Comment: Help with defining groups
by
Phinney, Brett
▴ 10
I got it working , thank you!!!
Comment: Check removeBatchEffect effectiveness
by
massimo
• 0
I would kindly ask for additional support. When not including the design_timepoint argument in removeBatchEffect and thus keeping the inter…
Comment: Error Loading Experiment from SimBenchData Package
by
ksankaran
• 0
Aha, that was it! The object was class Seurat, but I didn't have it installed. After installing, everything works as expected.
Comment: Streamlining the computing time for MiloDE p-value correction in large dataset?
by
ATpoint
★ 5.0k
Is a method that is so computationally expensive really beneficial and necessary? You seem to have biological replication, don't you, so ps…
Answer: NA values for DESeq2 p-values and adjusted p-values using large sample sizes
by
ATpoint
★ 5.0k
Outliers without replacement, independent filtering or all-zero counts for that gene. That's the three options that trigger NAs https://bio…
Votes
Comment: Check removeBatchEffect effectiveness
Gene expression associated with continuous (quantitative) traits (Limma/edgeR/correlation)
Answer: Error Loading Experiment from SimBenchData Package
Comment: incomplete imputation of missing values with LEA impute() function
Answer: Expected memory usage for analyzing large single-cell seq datasets (> 450,000 ce
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