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PING PING

updated 13.4 years ago by Xuekui Zhang ▴ 20 • written 13.4 years ago by Lars Hennig ▴ 10

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967

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Cancer PING Cancer PING

updated 14.1 years ago by Dan Tenenbaum ★ 8.2k • written 14.1 years ago by Philip Lijnzaad ▴ 160

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1.3k

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Cancer PING Cancer PING

updated 14.1 years ago by David Henderson ▴ 20 • written 14.1 years ago by Philip Lijnzaad ▴ 160

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1.6k

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Cancer rtracklayer GenomicRanges PING SANTA Cancer rtracklayer GenomicRanges PING SANTA

updated 15.3 years ago by Ping Ma ▴ 10 • written 15.3 years ago by Hervé Pagès 16k

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miRNA Biophysics Homo sapiens biomaRt PING miRNA Biophysics Homo sapiens biomaRt PING

updated 16.3 years ago by michael watson IAH-C ★ 3.4k • written 16.3 years ago by mauede@alice.it ▴ 870

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limma PING limma PING

22.3 years ago Gordon Smyth 53k

6 results • Page 1 of 1

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Comment: Help with defining groups by Phinney, Brett ▴ 10

I got it working , thank you!!!

Comment: Check removeBatchEffect effectiveness by massimo • 0

I would kindly ask for additional support. When not including the design_timepoint argument in removeBatchEffect and thus keeping the inter…

Comment: Error Loading Experiment from SimBenchData Package by ksankaran • 0

Aha, that was it! The object was class Seurat, but I didn't have it installed. After installing, everything works as expected.

Comment: Streamlining the computing time for MiloDE p-value correction in large dataset? by ATpoint ★ 5.0k

Is a method that is so computationally expensive really beneficial and necessary? You seem to have biological replication, don't you, so ps…

Answer: NA values for DESeq2 p-values and adjusted p-values using large sample sizes by ATpoint ★ 5.0k

Outliers without replacement, independent filtering or all-zero counts for that gene. That's the three options that trigger NAs https://bio…

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Comment: Check removeBatchEffect effectiveness

Gene expression associated with continuous (quantitative) traits (Limma/edgeR/correlation)

Answer: Error Loading Experiment from SimBenchData Package

Comment: incomplete imputation of missing values with LEA impute() function

Answer: Expected memory usage for analyzing large single-cell seq datasets (> 450,000 ce

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