Bioconductor CytofWorkflow

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FlowSOM cytofWorkflow

updated 20 months ago by helucro ▴ 70 • written 20 months ago by Anirban • 0

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grou heatmaps CyTOFpower cytofWorkflow

21 months ago shuangshuang • 0

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cytofWorkflow

updated 21 months ago by helucro ▴ 70 • written 21 months ago by shuangshuang • 0

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cytofWorkflow cytof diffcyt

3.9 years ago achaillon • 0

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cytofWorkflow

3.9 years ago achaillon • 0

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cytofWorkflow cytofworkflow flowCore

4.0 years ago GFM ▴ 20

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cytofWorkflow diffcyt

4.0 years ago GFM ▴ 20

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CATALYST cytofWorkflow

updated 5.0 years ago by Martin Morgan 25k • written 5.0 years ago by Brent.OCarrigan • 0

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cytofworkflow

5.1 years ago jianjunchencn • 0

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cytofWorkflow

updated 6.2 years ago by James W. MacDonald 67k • written 6.2 years ago by o.hunewald • 0

10 results • Page 1 of 1

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Comment: Is it possible to parallelise saveHDF5SummarizedExperiment by Stefano Mangiola ▴ 20

saveTileDBSummarizedExperiment would be awesome. I think we need performance for execution time and memory required to save.

Comment: Create Illmina bead summary data by Liu • 0

Hi! Yes, thank you! I completely agree. I am just curious about how these two files are processed with AVG_Gre and detection p-value. I am …

Answer: Epic v2 Annotation CpG_maf source? by James W. MacDonald 67k

Those all come from dbSNP by way of UCSC. [See here][1], particularly lines 114 and onward. Here is no MAF for a CpG. The MAF is for the…

Comment: Deseq2 res Function by James W. MacDonald 67k

In addition to Mike's comment, do note that if you are generating a heatmap based on the set of significant genes, the direction of your co…

Answer: Struggle with the replicates of epic array data by James W. MacDonald 67k

You shouldn't be using beta values for a linear model that assumes a unimodal, untruncated distribution (beta values are strictly on (0-1) …

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Appropriate use of the function treat of the limma package

Comment: Is it recommended to analyze different tissues together when using edgeR

Answer: Deseq2 res Function

Answer: BiocNeighbours Utility for k-Nearest Neighbour Classification

Answer: ANOVA like approach of edgeR

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