Showing : sigpathway • reset
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master gene list for pathway analysis
pathway analysis sigpathway Genesets_EntrezGeneIDs.RData
3.6 years ago maria • 0
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PANTHER in R.... Gene lists in sigPathway?
sigPathway sigPathway
10.0 years ago Voke AO ▴ 760
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help in downloading some packages.
goTools sigPathway topGO goTools sigPathway topGO
updated 11.6 years ago by ▴ 550 • written 11.6 years ago by ▴ 100
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computer out of memory when using sigpathway
Microarray Annotation sigPathway Microarray Annotation sigPathway
12.0 years ago 山中程 ▴ 10
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sigpathway pheno object
sigPathway sigPathway
12.9 years ago Adrian Johnson ▴ 330
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sigPathway on Agilent data
sigPathway sigPathway
14.0 years ago Srinivas Iyyer ▴ 600
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How can I make genesets for sigpathway
sigPathway sigPathway
updated 14.2 years ago by 59k • written 14.2 years ago by ▴ 600
7 results • Page 1 of 1
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Comment: how to make a group to apply the data to CAMERA by Akira • 0
Thank you so much for your quick answer!! I will look into them! I appreciate your kind support.
Comment: performing the differential binding in ChIP-seq by Bogdan ▴ 640
I am asking the question because we have two sets of ChIP-seq data for a histone mark (lets' say H3K4me1) that were generated with : <> an…
Comment: performing the differential binding in ChIP-seq by Bogdan ▴ 640
Thank you. Yes, DiffBind might be a good choice shall we have replicates per sample. Another choice is MA-norm2. Any other well-tested sug…
Comment: Error using read.ilmn and neqc by Gordon Smyth 45k
I edited the title of your question to be more specific.
Answer: Using limma to read Illumina HT-12 v4 data by Gordon Smyth 45k
It seems clear that you haven't exported the correct intensity data from GenomeStudio, and I think you recognize that yourself in your ques…
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Answer: how to make a group to apply the data to CAMERA
Answer: how to make a group to apply the data to CAMERA
Comment: Using vegan::betadisper for determing if I subset my design for DESeq2
Answer: How to best visualize multi-level transcriptomics experiment data?
A: Interpreting results of sample-to-sample PCA/clustering and changing assignment
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