Dr. Grover P. Miller Ph.D. and Dr. S. Joshua Swamidass M.D. Ph.D. are pleased to announce that our grant “Computationally Modeling the Impact of Ontogeny on Drug Metabolic Fate” was funded by the National Library of Medicine (NLM) of the NIH after receiving an outstanding impact score of 20 (6th percentile) by the independent study section.
This … Continue Reading ››
As the summer 2016 comes to a close, I want to acknowledge the outstanding contributions of this summers guest researchers.
Naomi Wilson (left) is an undergrad student from SUNY Geneseo. She spent the summer working curating metabolism kinetic data and building neural networks to model them. This work will be part of an upcoming publication. … Continue Reading ››
It is my pleasure to host Dr. Atul Butte at the CBSE lecture series, on May 10th, 2016 in Saint Louis. Atul the leading scientists in translational informatics (see here and here), and we are thrilled to have him share about his seminal work.
This is a minor update to figure 10 in a recently published paper: Original Paper.
The revised figure displays both the RMSE between each method and perfectly scaled prediction, and the R2 values for the Pearson correlation of the best-file line for that method. As measured by RMSE, the three methods have the same relative value as in … Continue Reading ››
computation at the intersection of medicine, biology and chemistry.
