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News: Bioconductor Course, Kenya 2025: Applications Open!
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News: Win 1 of 50 free virtual registrations to BioC Asia 2022 (Dec 1-2, 2022)
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News: European Bioconductor Conference 2023 planning
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News: News: BioCAsia2023 Abstract Submission & Registration Now Open!
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2.1 years ago Maria Doyle ▴ 100
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News: Bioconductor call for events!
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2.6 years ago Maria Doyle ▴ 100
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News: Registrations are now open for BioC Asia 2022
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3.0 years ago • updated 2.9 years ago Peter Hickey ▴ 760
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News: Public Calendar of Events
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5.4 years ago shepherl 4.2k
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News: EMBO | EMBL Symposium: The Molecular Basis and Evolution of Sexual Dimorphism
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5.7 years ago EMBL Events • 0
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News: Registrations are now open for BioC Asia 2019
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6.1 years ago Steve Pederson ▴ 170
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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…
Votes
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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