Computational Bioscience Program at the University of Colorado

Laura Stevens comprehensive exam today!

Causal inference with directed acyclic graphs in R.

Causal inference with DAGs 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...

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

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 ,...

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!

Scientific Premise in NIH Grant Applications 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…

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

onlinelibrary.wiley.com

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.

Analysing the HIV pandemic, Part 3: Genetic diversity 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...

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

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

A Data Element-Function Conceptual Model for Data Quality Checks. - PubMed - NCBI EGEMS (Wash DC). 2019 Apr 23;7(1):17. doi: 10.5334/egems.289.

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

Open Agile Text Mining for Bioinformatics: The PubAnnotation Ecosystem. - PubMed - NCBI Bioinformatics. 2019 Apr 1. pii: btz227. doi: 10.1093/bioinformatics/btz227. [Epub ahead of print]

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

A phylogenomic framework, evolutionary timeline and genomic resources for comparative studies of decapod crustaceans. - PubMed - NCBI Proc Biol Sci. 2019 Apr 24;286(1901):20190079. doi: 10.1098/rspb.2019.0079.