The Hands-on Modeling and Analysis Club (MAC) at Persimune/Rigshospitalet
The Modeling and Analysis club will meet regularly for so called hands-on MAC sessions, to discuss mathematical and statistical modeling and analysis of biomedical projects connected with Rigshospitalet and Persimune.
The motivation for the hands-on MAC sessions is to share and develop methods and best practices around mathematical and computational modeling and data analysis within Rigshospitalet and Persimune.
Any researcher within Rigshospitalet and Persimune is welcome to attend the hands-on MAC sessions to share their experiences and challenges around data and data analysis.
All hands-on MAC sessions will be announced internally at Rigshospitalet and Persimune.
All supporting material that can be freely shared will be published openly on the web.
The main programming language used for the MAC sessions is R and the sessions represent a good opportunity to get support and initiate collaboration around programming and code development.
Material for the first hands-on MAC session
Supporting material for the first MAC session as a pdf: R_training_Copenhagen_2017.pdf
The corresponding Markdown file R training Copenhagen 2017.Rmd . To use this you should first download R, RStudio and the Markdown package (see the pdf document).
The data files for the first MAC session horsekicks.csv; leukemia.RData; leukemiaSA.RData
The data are the famous data ( http://www.math.uah.edu/stat/data/HorseKicks.html ) analyzed by von Bortkiewicz (see https://en.wikipedia.org/wiki/Ladislaus_Bortkiewicz) in his 1898 book The Law of Small Numbers and a data set from the publication Classification of pediatric acute lymphoblastic leukemia by gene expression profiling. Ross et al, Blood. 2003 Oct 15;102(8):2951-2959.
A PowerPoint presentation in pdf format highlighting some useful web resources: R for Bioinformatics May 2017.pdf
For questions or remarks please contact Alvaro Borges alvaro.borges@regionh.dk or Magnus Fontes paer.magnus.fontes@regionh.dk
Data and material from the last MAC session plus exercises for the next MAC session