Showing : error • reset
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Graphics API Version Mismatch Error with DESeq2 and ggplot2 in RStudio on Ubuntu 22.04
error RStudio ggplot2 DESeq2
updated 6 months ago by 65k • written 6 months ago by • 0
10
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10
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7.1k
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biomaRt not working - lazy table error
error lazy R biomaRt table
updated 7 weeks ago by • 0 • written 6 months ago by ▴ 10
0
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0
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287
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proActiv - Error in estimateSizeFactorsForMatrix when using the proActiv function
proActiv error estimateSizeFactorsForMatrix
6 months ago Chris • 0
0
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1
reply
416
views
Problems when running GDC_prepare in R
TCGAbiolinks error GDC_prepare
6 months ago leon • 0
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3
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643
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DiffBind issue with edgeR$bTagwise and DESeq2$fitType
Config DiffBind Error
updated 9 months ago by ★ 5.2k • written 9 months ago by • 0
0
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1
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482
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Calculate RPKMs and Output proteins pass the cutoff into FASTA file ... Error in keepSeqlevels(anno, seqlevels(galn), pruning.mode = "coarse") : i…
customProDB easyrun error mm10 Mus_musculus_Data
updated 12 months ago by 65k • written 12 months ago by • 0
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8
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1.2k
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fail to annotate chromosome data to single cell object
error SingleCell annotate
updated 5 months ago by • 0 • written 14 months ago by • 0
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17
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3.4k
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What causes this DESeq2 error at "fitting model and testing"?
deseq2 differential expression error
updated 11 months ago by • 0 • written 6.6 years ago by • 0
8 results • Page 1 of 1
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Comment: deseq2 results by sajadahmad41454 • 0
thank you for your response, should i remove or discard that sample? since the red outlier on left represents one of healthy samples.
Comment: deseq2 results by swbarnes2 ★ 1.4k
It looks like the PCA plot of a real RNASeq experiment. The red outlier on the left might be the mathematical reason why you have few vali…
Comment: Multi-factorial, longitudinal disease progression analysis with unbalanced patie by Dylan.Sheerin • 0
Thank you very much, Gordon. I'll give voomLmFit a go!
Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie by Gordon Smyth 50k
Including subjectID in the design matrix always accounts for unbalanced sampling and patient variation but subjects with incomplete records…
Comment: Log-cpm values from limma by Gordon Smyth 50k
No, it does not mean that. `voom()` uses the design matrix with the W covariates, to compute precision weights but not to adjust the log-cp…
Votes
Comment: deseq2 results
Comment: deseq2 results
Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie
Answer: Extremely small p-values using Limma for proteomic data
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