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Lecture 19: Gene Set Enrichment Analysis
GSEA -
Week 1: Using R / Bioconductor in AnVIL
Workshop -
Talk
Testing R Packages
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Methylation and regulatory work flows with minfi
Methylation analysis -
Performance and parallel evaluation
Performance -
Working with Genomic Ranges
Genomics -
Experimental design
Experimental design -
Talk
Challenges and opportunities
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Working with R
R/Bioconductor -
Talk
Single cell updates
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R and Bioconductor for Genomic Analysis
Intro -
Lecture: HiC data analysis
HiC -
Workshops
Conference -
Talk
R / Bioconductor for open-source analysis and comprehension of high-throughput genomic data
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Talk
Orchestrating single cell analysis with Bioconductor
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Talk
Presentation on AnVIL
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Day 1 European Bioconductor Meeting 2017
Conference -
Evening session: Efficient R
Big data -
Talk
Discussion about unit testing
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Talk
New builder update
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Lab 9-1: Efficient and Parallel Evaluation
Big data -
Developing robust and efficient code
Workshop -
Talk
Presentation on sparseMatrixStats
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Talk
Browsing and searching the Bioconductor codebase
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Lecture 1: Introduction to R and Bioconductor
introduction -
RNA-Seq Lab: Workflow -- gene-level exploratory analysis and differential expression
RNA-Seq -
Talk
Compiling the OSCA book on the Bioconductor build system
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Working with Ranges infrastructure: annotating and understanding regions
Annotation -
Machine Learning
Machine learning -
Talk
How to advance science using Bioconductor
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