Computational Bioscience Program at the University of Colorado

09/13/2019

Laura Stevens comprehensive exam today!

08/13/2019

Causal inference with directed acyclic graphs in R.

Directed cyclical graphs (DAGs) are a powerful tool to understand and deal with causal inference. The book “Causal inference in statistics: a primer” is a useful reference to start, authored from Pearl, Glymour, and Jewell. Directed cyclical graphs (DAGs) are a powerful tool to understand and de...

07/26/2019

https://www.r-bloggers.com/dependency-parsing-with-udpipe/

We have been blogging about udpipe several times now in the following posts: update of udpipe You did a sentiment analysis with tidytext but you forgot to do dependency parsing to answer WHY is something positive/negative udpipe version 0.7 for Natural Language Processing ( ) alongside ,...

06/26/2019

NIH guidance on stating and explaining the scientific premises of your work. Good advice--I find that when I can lay this kind of argument out explicitly, I feel a lot more confident about what I'm proposing!

The NIH recently implemented updates to research grant and career development award applications aimed at enhancing reproducibility through rigor and transparency with a focus on four areas: scient…

06/19/2019

New publication from Computational Bioscience Program faculty members Kevin Cohen and Larry Hunter!

06/17/2019

Computational Bioscience Program faculty member Kevin Bretonnel Cohen talking about the pluses and minuses of the five traditional kinds of environmental monitoring at the Health Language Processing summer internship program at the University of Pennsylvania Perelman School of Medicine.

05/23/2019

Phillip (Armand) Bester is a medical scientist, researcher, and lecturer at the Division of Virology, University of the Free State, and National Health Laboratory Service (NHLS), Bloemfontein, South Africa Andrie de Vries is the author of “R for Dummies” and a Solutions Engineer at RStudio Recap...

05/23/2019

CancerMine, a resource based on literature mining, offers a database of drivers, oncogenes and tumor suppressors for gene–cancer associations, updated monthly.

05/20/2019

New publication from Computational Bioscience Program doctoral candidate Tiffany Callahan and faculty member Michael Kahn!

EGEMS (Wash DC). 2019 Apr 23;7(1):17. doi: 10.5334/egems.289.

05/20/2019

New publication from Computational Bioscience Program doctoral candidate Tiffany Callahan and faculty member Kevin Cohen!

Bioinformatics. 2019 Apr 1. pii: btz227. doi: 10.1093/bioinformatics/btz227. [Epub ahead of print]

05/20/2019

New publication from Computational Bioscience Program post-doctoral fellow Laura Timm of the Po***ck Lab!

Proc Biol Sci. 2019 Apr 24;286(1901):20190079. doi: 10.1098/rspb.2019.0079.