Robert Grossman to Genome, Bacterial
This is a "connection" page, showing publications Robert Grossman has written about Genome, Bacterial.
Connection Strength
0.908
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Accurate and rapid prediction of tuberculosis drug resistance from genome sequence data using traditional machine learning algorithms and CNN. Sci Rep. 2022 02 14; 12(1):2427.
Score: 0.779
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Genome sequences of the primary endosymbiont "Candidatus Portiera aleyrodidarum" in the whitefly Bemisia tabaci B and Q biotypes. J Bacteriol. 2012 Dec; 194(23):6678-9.
Score: 0.103
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Comparison of the genome sequences of "Candidatus Portiera aleyrodidarum" primary endosymbionts of the whitefly Bemisia tabaci B and Q biotypes. Appl Environ Microbiol. 2013 Mar; 79(5):1757-9.
Score: 0.026