迈向对复杂性状分析和解释的知识支持。
Toward knowledge support for analysis and interpretation of complex traits.
作者信息
Collier Nigel, Oellrich Anika, Groza Tudor
出版信息
Genome Biol. 2013;14(9):214. doi: 10.1186/gb-2013-14-9-214.
Abstract
The systematic description of complex traits, from the organism to the cellular level, is important for hypothesis generation about underlying disease mechanisms. We discuss how intelligent algorithms might provide support, leading to faster throughput.
摘要
从生物体到细胞水平对复杂性状进行系统描述，对于生成关于潜在疾病机制的假设很重要。我们讨论了智能算法如何提供支持，从而实现更高的通量。
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