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  • Hi, Iā€™m John @Focyte
  • A research scientist with 15+ years laboratory experience in the fields of cancer, immunology, and RNA biology
  • Recently, I started using R to process and analyse data
  • Through collaborations with data scientists I have also tried some feature selection methods and machine learning
  • The next steps for me are to:
    1. Become comfortable working with Linux command line and bash scripts
    1. Learn to code in Python so I can further explore machine learning tools
    1. Refresh my mathematics knowledge

John Foster's Projects

focyte icon focyte

Config files for my GitHub profile.

gsea icon gsea

Scripts to perform gene set enrichment analysis (GSEA)

id_conversion icon id_conversion

Three R scripts for gene-related data conversion and annotation

rna_seq icon rna_seq

Pipelines for analysis of RNA sequencing data using bash scripting of command line tools, Python and R scripts

stats icon stats

These scripts perform statistical analyses on input data

tcga_spliceseq icon tcga_spliceseq

Comparison of Percentage Spliced In (PSI) values for Normal versus Tumour tissue in samples from TCGA SpliceSeq data

tcga_survival icon tcga_survival

Generate Survival Plots for gene copy number analysis in TCGA data

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