Our preprint is available on bioRxiv. Across biology we are seeing rapid developments in scale of data production without a corresponding increase in data analysis capabilities. Here, we present Aether (http://aether.kosticlab.org), an intuitive, easy-to-use, cost-effective, and scalable framework that uses linear programming (LP) to optimally bid on and deploy combinations of underutilized cloud computing resources. Our approach... Read more about Aether Pre-Print Available On bioRxiv
Trinity_USeven Trinity students and alumni were recently recognized by the National Science Foundation and received Graduate Research Fellowships, one of the most prestigious awards an aspiring scientist can earn. #TigerPride
michaelhoffman13/In summary, here's our four-step checklist for sharing your data when submitting a manuscript. We suggest making a sharing protocol for your own research group—start with this checklist and expand to contain instructions for kinds of you often work with. t.co/YCogPTzZar
JacobLuberNice work from @evan_cofer! The GPU market is perverse due to cryptocurrency mining incentives that greatly damage the environment. New domain specific efficiencies like this or industry actions like Nvidia hash-rate limiting new cards are steps forward for sustainable computing! t.co/kaxiFY1dNV
JacobLuberJournals should require all needed code to generate every figure be published with papers; additionally, journals can use some of their massive profit margins to *run* this code for every accepted paper.
We developed a statistical learning approach to predict head and neck cancer response to radiation therapy using PET medical imaging data. PET imaging looks at glucose metabolism, which allows cancer cells to proliferate, with the help of a tracer. Glucose metabolism is known to be highly indicative of treatment response and patient survival. We have utilized publically available clinical trial data from The Cancer Imaging Archive (http://doi.org/10.7937/K9/TCIA.2017.umz8dv6s) as our training data. Inherently, imaging data of this type has hundreds of potential features; however,...