Using machine learning algorithms to identify genes essential for cell survival
作者: Santosh PhilipsHeng-Yi WuLang Li
作者单位: 1Indiana University
刊名: BMC Bioinformatics, 2017, Vol.18 (11)
来源数据库: Springer Journal
DOI: 10.1186/s12859-017-1799-1
关键词: Machine learningGene essentialityLiterature mining
英文摘要: With the explosion of data comes a proportional opportunity to identify novel knowledge with the potential for application in targeted therapies. In spite of this huge amounts of data, the solutions to treating complex disease is elusive. One reason being that these diseases are driven by a network of genes that need to be targeted in order to understand and treat them effectively. Part of the solution lies in mining and integrating information from various disciplines. Here we propose a machine learning method to mining through publicly available literature on RNA interference with the goal of identifying genes essential for cell survival.
原始语种摘要: With the explosion of data comes a proportional opportunity to identify novel knowledge with the potential for application in targeted therapies. In spite of this huge amounts of data, the solutions to treating complex disease is elusive. One reason being that these diseases are driven by a network of genes that need to be targeted in order to understand and treat them effectively. Part of the solution lies in mining and integrating information from various disciplines. Here we propose a machine learning method to mining through publicly available literature on RNA interference with the goal of identifying genes essential for cell survival.
全文获取路径: Springer  (合作)
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影响因子:3.024 (2012)

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关键词翻译
关键词翻译
  • machine 机器
  • learning 学识
  • understand 理解
  • essential 本质的
  • identify 视为同一
  • mining 矿业
  • proportional 成比例的
  • survival 生存
  • spite 恶意
  • driven 从动的