Machine Learning Models for Neisseria gonorrhoeae Antimicrobial Susceptibility Tests Permalink
A preprint of Sky Martin’s in-depth review of machine learning models for antimicrobial susceptibility testing is now available!
A preprint of Sky Martin’s in-depth review of machine learning models for antimicrobial susceptibility testing is now available!
Our study on Neisseria gonorrhoeae escape from sequence based ciprofloxacin diagnostics, led by Dan Rubin, is now available on bioRxiv!
After many years of work from the Pepperell lab, Tracy Smith and Madison Youngblom’s experimental evolution of M. tuberculosis biofilms has now been publishe...
Chris Hadjineophytou’s manuscript on protein glycosylation by PglO across the Neisseria genus has been published in mBio!
I wrote a commentary on a recent publication in mBio where Ayala and colleagues identified a single nucleotide variant in gdhR in Neisseria gonorrhoeae and e...