Nicola Romanò @nicolaromano@qoto.org

I have created a little R #Shiny interface to deconvolute #luciferase assay data.

This is based on Brown 2008 - Inferring gene expression dynamics from reporter protein levels (but does not include volume correction)

The app also reports initial rate, maximum and decay rate

It is available here, for anyone to enjoy, modify etc

https://github.com/nicolaromano/LucDeconvolution

#rstats #analysis #biology #transcription

Just learned you can vertically split the #terminal in #vscode which is extremely useful to have a second #rstats terminal to do some on-the-fly tests while running a Shiny app!

Hello everyone! Here's my #introduction! I am a senior lecturer at the University of Edinburgh, mostly teaching biomedical #ImageAnalysis and #DataScience ( #machinelearning #statistics and all that jazz) using #rstats and #python. My research interests revolve around #neuroendocrinology that is, understanding how your brain controls the production of hormones in your body. I am particularly interested in the role of #heterogeneity of cells in the #pituitary gland and how that contributes to generating the right pattern of hormones at the right time!