Showing : rna-seq • reset
9
votes
12
replies
7.8k
views
Multi factor design edgeR/Deseq2
deseq2 edgeR rna-seq
updated 17 days ago by • 0 • written 8.8 years ago by ▴ 30
0
votes
2
replies
3.5k
views
Dealing with multi-overlapping and multi-mapping reads
RNA-seq featureCounts ht-seq
written 3.8 years ago by ▴ 80
0
votes
2
replies
2.3k
views
Incorporating spike-ins to rna-seq analysis
Spike-in RNASeqR DESeq2 Normalization rna-seq
updated 8 months ago by • 0 • written 2.1 years ago by • 0
0
votes
10
replies
2.2k
views
Error in reading data on isoformswitchanalyzeR
isoformswitchanalyzeR rna-seq splice-variants
written 5.1 years ago by • 0
2
votes
3
replies
1.6k
views
TPM from STAR mapped counts
GeneExpression GenomicFeatures RNA-Seq TPM
updated 7 months ago by 50k • written 7 months ago by • 0
0
votes
2
replies
1.2k
views
Pathway analysis using GAGE returns all NA values
gage rna-seq pathwayanalysis
updated 11 months ago by • 0 • written 3.5 years ago by • 0
5
votes
7
replies
1.2k
views
Question about setting threshold using filtering by expression on genes in edgeR
filtering RNA-Seq CPM edgeR filterByExpr
updated 11 months ago by 50k • written 11 months ago by ▴ 10
0
votes
1
reply
908
views
Human genes correlation to Bacterial genes
correlation pearsoncorrelation rna-seq differential gene expression
updated 4 months ago by ★ 4.1k • written 6.0 years ago by • 0
3
votes
4
replies
874
views
lfcShrink() and batch effects in DESeq2
BatchEffect lfcshrink RNA-seq DESeq2
9 months ago Eva ▴ 10
0
votes
3
replies
856
views
Why is RNA-Seq library size not constant among samples?
RNA-Seq sequencer library_size sequency_depth multiplexing offtopic
updated 11 months ago by 65k • written 12 months ago by • 0
0
votes
3
replies
713
views
Is the gene-specific PCR efficiency a serious concern for intrasample comparisons in RNA-Seq?
RNA-Seq normalization PCR_efficiency bias intrasample_comparison
updated 11 months ago by 65k • written 12 months ago by • 0
0
votes
4
replies
712
views
DESeq2 : standardising variation between treatments
RNA-seq DESeq2
7 months ago • updated 6 months ago ar14g12 • 0
0
votes
3
replies
686
views
Fishpond with unbalanced dataset
rna-seq salmon fishpond swish
updated 10 months ago by 41k • written 10 months ago by • 0
0
votes
3
replies
656
views
RNAseq (Deseq2 and Dexseq2) analysis on two time points with expected same effect
DEXSeq RNA-seq DESeq2
updated 8 months ago by ★ 1.9k • written 8 months ago by • 0
3
votes
3
replies
334
views
permutation test in edgeR
rna-seq edgeR
updated 14 days ago by 50k • written 27 days ago by • 0
0
votes
2
replies
313
views
WGCNA less samples
RNA-Seq WGCNA Worms
5 months ago davca • 0
2
votes
3
replies
136
views
Too many significant genes when integrating gtex and tcga
RNA-seq DESeq2
updated 6 hours ago by ★ 4.1k • written 1 day ago by • 0
17 results • Page 1 of 1
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Replies
Comment: SGSeq: moving toward diffex from SGSeq analysis by Sara • 0
Thank you for your response. I have another question about saving the sgvc result as a CSV file. I would appreciate your help, please. ``` …
Comment: How to use bootRanges to bootstrap small RNA loci (nullranges package) by Poonam • 0
I tried different block lengths first and considered 100000 to be ideal because of the almost similar inter-range distance. S1= bootRange…
Comment: How to use bootRanges to bootstrap small RNA loci (nullranges package) by Michael Love 41k
The segmentation and block length are key parameters. We recommend for example blocks of length ~500kb. It would help if you would post yo…
Answer: Handling multiple differential expression comparisons by Michael Love 41k
It's typical that results are presented with each group having its own FDR control. So presenting each comparison with the adjusted p-va…
Comment: Too many significant genes when integrating gtex and tcga by ATpoint ★ 4.1k
These two datasets are from completely different experiments / batches. It is utterly meaningless to compare them. I would suggest comparat…
Votes
Print Differentially Expressed Exons From Dexseq Results
Answer: Why does GSEA on edgeR results for randomized samples give highly significant p-
Answer: limma Intercept vs No-intercept models completely changing DMR results?
Answer: CombineArrays for EPIC and EPIC V2
Answer: Too many significant genes when integrating gtex and tcga
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