Showing : RUV • reset
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Problem with spike-ins (ERCC) in DESeq2 analysis after doing RUVg!
SpikeIn RUVSeq DESeq2 RUV
updated 15 months ago by 43k • written 15 months ago by • 0
1
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2
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2.1k
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RUV4 for microarrays
RUV4 RUV Microarray
4.5 years ago • updated 4.4 years ago Antonio • 0
5
votes
6
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2.3k
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RUVseq to remove a library size artefact in a zebrafish brain RNA-seq dataset
RUVSeq RUV RNA-seq
updated 5.0 years ago by 68k • written 5.1 years ago by ▴ 20
0
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1
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2.2k
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Application of RUV to a small Nanostring dataset
RUV Nanostring RUV-III
updated 5.5 years ago by ▴ 20 • written 6.2 years ago by ▴ 30
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3
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1.5k
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Highly variable gene analysis including RUVs batch correction
deseq2 RUV batch highly variable genes
updated 5.6 years ago by • 0 • written 5.6 years ago by • 0
0
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1
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1.6k
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Using RUVs on Deseq2 but clustering still seems wrong
deseq2 ruv batch
updated 6.0 years ago by 43k • written 6.0 years ago by • 0
0
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0
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1.3k
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missMethyl EPIC manifest update
missmethyl epic illuminahumanmethylationepicanno.ilm10b4.hg19. ruv
7.1 years ago peter.fransquet • 0
0
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0
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1.2k
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which value from ruvadj in missMethyl can present methylation status
methylation missmethyl RUV batch effect
7.4 years ago RC • 0
0
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0
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1.3k
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MissMethyl: Sample size and control probes
missmethyl RUV control probes
7.4 years ago Taub, Margaret ▴ 10
2
votes
9
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3.5k
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Zero inflation in RUV normalization and DE for single cell data
ruv ruvseq ruvnormalize single-cell zero-inflated
updated 8.2 years ago by ▴ 980 • written 8.2 years ago by ▴ 90
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3
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3.2k
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Does it make sense to consider RUVr normalization for single cell RNA analysis?
RUV ruvseq ruvr ruvnormalize single cell
8.2 years ago Nik Tuzov ▴ 90
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0
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1.2k
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Differential expressed genes between different samples in RUVseq
rnaseq ruv differential gene expression R
8.3 years ago manish20072013 • 0
3
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4
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3.8k
views
Single cells batch effects
RUV single cell batch effect
8.5 years ago ribioinfo ▴ 100
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0
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1.3k
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Has anyone used the RUV package for Microbiome data?
ruv
8.6 years ago sasha • 0
0
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1
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2.8k
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Can FPKM or TPM values be used as RUVs input ?
ruvseq ruvg ruv
updated 8.7 years ago by ▴ 980 • written 8.8 years ago by • 0
0
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0
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1.4k
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Bach effect and PEER/RUV correction on large population
methylation gene expression sva batch effect ruv
8.8 years ago carleshf ▴ 10
2
votes
1
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2.0k
views
RUVSeq empirical negative controls? how many to take to find the span set
ruvseq RUV ruvnormalize ruvg
9.2 years ago anthonycolombo60 • 0
0
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5
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2.9k
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RUVseq for microRNAs
ruvseq ruv microrna
10.2 years ago sergio.espeso-gil • 0
0
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1
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2.0k
views
normalised data after RUV2( )
ruv microarray
updated 10.2 years ago by ▴ 30 • written 10.4 years ago by ▴ 160
3
votes
2
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3.1k
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Normalisation before RUVg and RUV2?
ruvseq ruv
updated 10.4 years ago by ▴ 980 • written 10.4 years ago by ▴ 160
1
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9
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3.6k
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RUV: removing unwanted variation in RNA-seq
RUV ruvseq rnaseq
10.4 years ago sergio.espeso-gil • 0
21 results • Page 1 of 1
Recent ...
Replies
Comment: PCA subset of genes vs DE by Ben • 0
PCA evaluates separation according to your input. The subset of genes you used may be entirely identical in terms of expression, indicatin…
Comment: Problem with MakeTxDbFromGFF by Ben • 0
Wow can't believe he can really answer this [speed stars][1] [1]: https://speed-stars.co
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.
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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