Characterization of CA-MRSA TCH1516 exposed to nafcillin in bacteriological and physiological media
暂无分享,去创建一个
Adam M. Feist | Jonathan M. Monk | Connor A. Olson | R. Knight | B. Palsson | P. Dorrestein | V. Nizet | A. Feist | J. Pogliano | R. Szubin | Yara Seif | S. Poudel | Joseph Sugie | Alison Vrbanac | N. Dillon | Hannah Tsunemoto | Michael J. Meehan | Anne Lamsa | Samira Dahesh | M. Meehan | R. Knight
[1] Jeffrey W. Smith,et al. Correcting a Fundamental Flaw in the Paradigm for Antimicrobial Susceptibility Testing , 2017, EBioMedicine.
[2] Christopher. Simons,et al. Machine learning with Python , 2017 .
[3] J. O'Neill,et al. Tackling drug-resistant infections globally: final report and recommendations , 2016 .
[4] V. Nizet,et al. Bacterial Cytological Profiling (BCP) as a Rapid and Accurate Antimicrobial Susceptibility Testing Method for Staphylococcus aureus , 2016, EBioMedicine.
[5] K. Poole. Bacterial stress responses as determinants of antimicrobial resistance. , 2012, The Journal of antimicrobial chemotherapy.
[6] Steven L Salzberg,et al. Fast gapped-read alignment with Bowtie 2 , 2012, Nature Methods.
[7] Andrew E. Jaffe,et al. Bioinformatics Applications Note Gene Expression the Sva Package for Removing Batch Effects and Other Unwanted Variation in High-throughput Experiments , 2022 .
[8] J. Martínez,et al. Metabolic regulation of antibiotic resistance. , 2011, FEMS microbiology reviews.
[9] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[10] R. Daum,et al. Community-Associated Methicillin-Resistant Staphylococcus aureus: Epidemiology and Clinical Consequences of an Emerging Epidemic , 2010, Clinical Microbiology Reviews.
[11] G. Weinstock,et al. Subtle genetic changes enhance virulence of methicillin resistant and sensitive Staphylococcus aureus , 2007, BMC Microbiology.
[12] A. Barry. An Overview of the Clinical and Laboratory Standards Institute (CLSI) and Its Impact on Antimicrobial Susceptibility Tests , 2007 .
[13] Anne E Carpenter,et al. CellProfiler: image analysis software for identifying and quantifying cell phenotypes , 2006, Genome Biology.
[14] V. Nizet,et al. The mammalian ionic environment dictates microbial susceptibility to antimicrobial defense peptides , 2006, FASEB journal : official publication of the Federation of American Societies for Experimental Biology.
[15] Ewert Bengtsson,et al. A Feature Set for Cytometry on Digitized Microscopic Images , 2003, Analytical cellular pathology : the journal of the European Society for Analytical Cellular Pathology.
[16] J. Turnidge. The Pharmacodynamics of β-Lactams , 1998 .
[17] D. Gage,et al. Effect of exogenous glycine on peptidoglycan composition and resistance in a methicillin-resistant Staphylococcus aureus strain , 1996, Antimicrobial agents and chemotherapy.
[18] Cheng Li,et al. Adjusting batch effects in microarray expression data using empirical Bayes methods. , 2007, Biostatistics.
[19] M. Ferraro. Performance standards for antimicrobial susceptibility testing , 2001 .