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Connection

Kyle M. Hernandez to Antitubercular Agents

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This is a "connection" page, showing publications Kyle M. Hernandez has written about Antitubercular Agents.
Kyle M. Hernandez
Connection Strength
0.199
Antitubercular Agents
  1. 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.
    View in: PubMed
    Score: 0.199
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.