25 CMCI Supported Publications to Date

Since our inception in 2015, CMCI has seen an increase each year in the number of articles published.
To view a full list of titles published with links to the full articles, click here.

Since our inception in 2015, CMCI has seen an increase each year in the number of articles published.
To view a full list of titles published with links to the full articles, click here.
Dr. Benjamin Ridenhour, Assistant Professor in the Department of Mathematics and Statistical Science and IMCI modeler, recently made significant contributions to an article in The Scientist, a magazine for life science professionals: Read the entire article, written by Katarina Zimmer, here.
The CMCI Reproducibility in Sciences working group, or SciRep for short, has been meeting since the fall of 2015. Today, their most recent publication, “Scientific discovery in a model-centric framework: Reproducibility, innovation, and epistemic diversity,” was published in PLOS ONE. Congratulations! The American Council on Science and Health also picked up the story with their…
Congratulations to Jagdish Patel and Marty Ytreberg! Their article, “Expanding the watch list for potential Ebola virus antibody escape mutations” was recently selected to be featured on the PLOS Ebola Channel. The PLOS Ebola Channel was launched in response to the ongoing Ebola outbreak in the Democratic Republic of Congo. They work with authors and…
Where does a cell put it’s resources? CMCI participant and Department of Physics faculty member Andreas Vasdekis, and his research colleagues Hamdah Alanazi, Amrah Canul and Christopher Williams published a study in the journal Nature Communications. They introduce a new imaging technique to record how a single cell allocates its resources between the production of…
World-wide experiments have been conducted to understand the distinct relationships among various genes. However, it remains a challenge to identify the genomic causes and effects directly from the data, especially within a network. It’s the classic chicken and egg question: Which comes first, the chicken or the egg? In other words, how do you know…
Vakanski A, Ferguson JM, Lee S. Mathematical Modeling and Evaluation of Human Motions in Physical Therapy Using Mixture Density Neural Networks. J Physiother Phys Rehabil. 2016 Dec;1(4):118. Epub 2016 Oct 11. PMID: 28111643; PMCID: PMC5242735. https://pubmed.ncbi.nlm.nih.gov/28111643/