Showing 30 materials out of 242
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Multiple testing
Statistics and probability -
Working with DNA Sequences
Data Representation -
Working with R
R/Bioconductor -
Robust statistics
Statistics and probability -
Bioconductor for Genomic Analysis
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Introduction to Bioconductor
Bioconductor -
Gene set enrichment
Gene-set enrichment analysis -
Accessing Annotation Resources
Annotation -
Integrated pathway analysis of multiple omics datasets
Pathway -
Bioconductor Masterclass: Package Development
Devel -
Liftr & sbgr
Workflows -
Sequence Data Representation
Data Representation -
Analysis of RNA-Seq using the DESeq2 package
RNA-Seq -
Week 4: Single-cell RNASeq with 'Orchestrating Single Cell Analysis' in R / Bioconductor
Workshop -
Week 1: Using R / Bioconductor in AnVIL
Workshop -
Talk
Presentation on sparseMatrixStats
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Data manipulation
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Talk
Developments in rhdf5
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Parallel Computing with Bioconductor in the Amazon Cloud
Scalable Computing -
Visualization.
Visualisation -
Talk
Challenges and opportunities
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Talk
Bioc vs. CRAN build systems
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R / Bioconductor for 'Omics Analysis (U. Idaho)
Overview -
Talk
Adding additional compression filters to rhdf5
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How Bioconductor advances science and contributes to R
Keynote -
Resampling methods
Statistics and probability -
Adding Annotation To Your Analysis
Annotation -
Analyzing splice events from RNA-seq data with SGSeq
RNA-Seq -
Lab: Performance and Parallel Evaluation
LargeData -
Talk
How to advance science using Bioconductor
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