KeySDL:.

Max Gordon1, Turgut Yigit Akyol2, B Amos1

  • 1Department of Electrical and Computer Engineering, North Carolina State University, 890 Oval Drive, Raleigh, 27607, North Carolina, USA.

概括

鉴定对微生物群落至关重要的基石微生物现在更容易获得. 我们的KeySDL方法使用更少的数据准确地预测这些具有影响力的微生物,即使是复杂的微生物动态.

相关概念视频

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