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Predicting High-Impact Pharmacological Targets by Integrating Transcriptome and Text-Mining Features

Predicting High-Impact Pharmacological Targets by Integrating Transcriptome and Text-Mining Features

Mayburd, Anatoly; Baranova, Ancha
  • 期刊名称Journal of Pharmacy & Pharmaceutical Sciences
  • 作者Mayburd, Anatoly; Baranova, Ancha
  • 卷第19卷
  • 期第4期
  • 印刷ISSN1482-1826
  • 电子ISSN1482-1826
  • 文件大小374.29KB
  • 发表时间2016-11-15
  • DOI10.18433/J3SC8X
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