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ccpaper's Introduction

Hello! ๐Ÿ‘‹

I'm a bioinformatics analyst with Hunter Moseley at University of Kentucky's Markey Cancer Center. I spend most of my time both analyzing various -omics datasets (transcriptomics, metabolomics, etc) and developing new tools and methods for analyzing these kinds of data. This means I'm heavily dependent on others sharing their data, and proudly consider myself a research parasite.

I really, really enjoy programming in R, although I also dabble occasionally in Python. I occasionally write about my research, personal projects, and my thoughts on science on my blog.

  • ๐Ÿ’ฌ Ask me about quality control and quality assurance of high-feature -omics datasets, writing R packages, and using {targets} for data analyses.
  • ๐Ÿ› ๏ธ I maintain a few packages related to -omics data analysis.

ccpaper's People

Contributors

rflight79 avatar rmflight avatar

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ccpaper's Issues

combined overlap

Find a way to allow users to determine which type of coefficient to use, either the Jaccard, Overlap, or combined, while still using the default.

The easiest way to do this is to probably make it a property of one of the classes, that gets automatically set based on whether using GO or KEGG, but user can modify it.

compare with EM

Given that we are pretty much doing the same thing as EM, why would we bother actually comparing.

The advantage of doing it in R is keeping everything in R, and not having to go between systems. Maybe hype this up in the article.

alternative visualization

try out the pie graph visualization, using desaturation to indicate non-significance.

Note that we PROBABLY don't want to just include the sig colors, because that will likely overwhelm the user in the visualization.

process data sets

do rat vs mouse, and check difference in annotation to see if should do orthologues or not

do UC vs Crohn's

Find a cell type that responds to cancer drug, and does not respond, and do metab to transcript

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