【摘 要】
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With the advent of high-throughput technologies making large-scale gene expression data readily available, developing appropriate computational tools to pro
【机 构】
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UCBerkeleyUniversityofSouthernCalifornia
【出 处】
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第六届全国生物信息学与系统生物学学术大会暨国际生物信息学前沿研讨会
论文部分内容阅读
With the advent of high-throughput technologies making large-scale gene expression data readily available, developing appropriate computational tools to process these data and distill insights into systems biology has been an important part of the Big Data challenge.Gene coexpression is one of the earliest techniques developed that is still widely in use for functional annotation, pathway analysis and, most importantly, the reconstruction of gene regulatory networks, based on gene expression data.
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