Bioconductor Rcurl

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6.0k

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biomart proxy rcurl

updated 9.5 years ago by hygine ▴ 140 • written 9.5 years ago by enricoferrero ▴ 680

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15k

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deseq2 rcurl annotate genefilter geneplotter

updated 8.3 years ago by Martin Morgan 25k • written 8.3 years ago by Rémi Willamme ▴ 10

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7.0k

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Install cummerbund Rcurl xml

updated 10.6 years ago by Martin Morgan 25k • written 10.6 years ago by dnajuice ▴ 20

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3.4k

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arrayexpress xml rcurl http EBI

updated 7.6 years ago by Wolfgang Huber ★ 13k • written 7.6 years ago by Bernd Klaus ▴ 610

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3.3k

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scan.upc geoquery rcurl

10.3 years ago lep ▴ 90

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10k

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RCurl

9.8 years ago yueli7 ▴ 20

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2.8k

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biomaRT Rcurl phytozome

updated 5.9 years ago by Mike Smith ★ 6.6k • written 5.9 years ago by s.nielsen ▴ 20

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3.3k

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microarrays xml RCurl libxml2 libcurl

updated 8.1 years ago by Martin Morgan 25k • written 8.1 years ago by farahqureshi5 • 0

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Comment: blockwiseModule crashes in the end and doesn't generate modules by drivingdirectionsonline • 0

Solution: The error is likely due to a conflicting cor() function from another package (like psych). Restart R, run blockwiseModules() befo…

Comment: DeSeq Strategies for run to run Replication by Michael Love 43k

You shouldn't need to run `DESeq` on the test data, or manually compute normalization factors. ``` dds_test <- ... # create object dds_te…

Answer: Feature Counts - potential bug with outfile.jcounts by Wei Shi ★ 3.6k

We have made significant changes to how featureCounts annotates junctions detected in read mapping results. These updates are included in t…

Comment: How to perform batch correction on scRNA-seq with confounding plate effects? by 瑞宏 • 0

I would like to share my own understanding: in single-cell RNA sequencing (scRNA-seq), batch correction is solely intended to identify the …

Comment: DiffBind can't find a DAR by Mengjun • 0

Additionally, i checked my bigwig in igv, it shows that the ctrl_1 is more like ko_1, and ctrl_2's track is more like ko_2's track. Did an…

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Comment: Differential expression analysis using two TCGA datasets

C: Annotating HTA 2.0 genes

A: Annotating HTA 2.0 genes

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