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index.Rmd
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index.Rmd
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---
title: "Home"
site: workflowr::wflow_site
output:
workflowr::wflow_html:
toc: false
editor_options:
chunk_output_type: console
---
I refer to [my blog](https://davetang.org/muse/) often to look up notes and code I have written. I will recreate my blog posts here, to make it easier to reuse and also maintain my code. Some posts only exist here and not on my blog, so there is no `original` hyperlink back to my blog.
### Blog posts
* Making a heatmap in R with the pheatmap package - [original](https://davetang.org/muse/2018/05/15/making-a-heatmap-in-r-with-the-pheatmap-package/) / [updated](pheatmap.html)
* Markov chain - [original](https://davetang.org/muse/2014/01/23/markov-chain/) / [updated](markov_chain.html)
* Visualising Google Trends results with R - [original](https://davetang.org/muse/2018/12/31/visualising-google-trends-results-with-r/) / [updated](google_trends.html)
* Complex UpSet plots - original / [updated](complex_upset.html)
* Read GTF file into R - [original](https://davetang.org/muse/2017/08/04/read-gtf-file-r/) / [updated](read_gtf.html)
* Gene Ontology Enrichment Analysis - [original](https://davetang.org/muse/2010/11/10/gene-ontology-enrichment-analysis/) / [updated](go_enrichment.html)
* Split single column of annotations into multiple columns - original / [updated](split_column.html)
* Distance Matrix Computation - [original](https://davetang.org/muse/2013/08/15/distance-matrix-computation/) / [updated](distance.html)
* Sequence composition and random forests - [original](https://davetang.org/muse/2013/09/14/sequence-composition-random-forests/) / [updated](tss_predict.html)
* Using dplyr to aggregate in R - [original](https://davetang.org/muse/2016/10/13/using-dplyr-aggregate-r/) / [updated](dplyr_agg.html)
* Using the R `seqinr` package - [original](https://davetang.org/muse/2013/05/09/using-the-r-seqinr-package/) / [updated](seqinr.html)
* Backticks in R - [original](https://davetang.org/muse/2022/09/07/backticks-in-r/) / [updated](r_backticks.html)
* Step by step Principal Component Analysis using R [original](https://davetang.org/muse/2012/02/01/step-by-step-principal-components-analysis-using-r/) / [updated](pca.html)
* Matrix to adjacency list in R - [original](https://davetang.org/muse/2017/03/16/matrix-to-adjacency-list-in-r/) / [updated](adj_list.html)
* Parallel computation in R - [original](https://davetang.org/muse/2016/11/04/parallel-distance-calculation/) / [updated](parallel.html)
* Getting started with tidymodels - original / [updated](tidymodels.html)
* Using the fast preranked gene set enrichment analysis (fgsea) package - [original](https://davetang.org/muse/2018/01/10/using-fast-preranked-gene-set-enrichment-analysis-fgsea-package/) / [updated](fgsea.html)
* Solving problems with graphs - [original](https://davetang.org/muse/2016/10/16/solving-problems-graphs/) / [updated](graph.html)
* Using the Bioconductor GenomicRanges package - [original](https://davetang.org/muse/2013/01/02/iranges-and-genomicranges/) / [updated](genomic_ranges.html)
* Using the Bioconductor ensembldb package - original / [updated](ensembldb.html)
* Performance of binary classifiers - original / [updated](bin_class.html)
* JSON versus YAML - original / [updated](json_vs_yaml.html)
* Reading irregular data into R - [original](https://davetang.org/muse/2023/06/02/reading-irregular-data-into-r/) / [updated](r_parsing.html)
* Learning about antibodies - original / [updated](antibody.html)
* Position weight matrix - [original](https://davetang.org/muse/2013/10/01/position-weight-matrix/) / [updated](pwm.html)
* Hidden Markov Models - original / [updated](hmm.html)
* Gene expression heatmap using ARCHS4 data - original / [updated](gene_heatmap.html)
* Working with HDF5 data in R - original / [updated](hdf5.html)