MedMiner: An Internet text-mining tool for biomedical information, with application to gene expression profiling
MedMiner: An Internet text-mining tool for biomedical information, with application to gene expression profiling
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DOI：
10.2144/99276bc03
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发表时间：
1999-12-01
期刊：
影响因子：
2.7
通讯作者：
Weinstein, JN
中科院分区：
文献类型：
--
作者：
Tanabe, L;Scherf, U;Weinstein, JN
分子生物学中高通量技术的趋势和在线科学数据的爆炸式增长威胁着研究人员充分利用现有信息的能力。这个问题在快速发展的基因表达实验领域尤其严重，例如，那些携带cDNA微阵列或寡核苷酸芯片的实验。我们提出了一个基于互联网的超文本程序，MedMiner；我们展示了该方法对基因表达数据分析的价值，但MedMiner也可以扩展到涉及分子遗传学或药理学信息的其他领域。更普遍的是，MedMiner可以用来组织从任意PubMed搜索返回的信息。
The trend toward high-throughput techniques in molecular biology and the explosion of online scientific data threaten to overwhelm the ability of researchers to take full advantage of available information. This problem is particularly severe in the rapidly expanding al ea of gene expression experiments, Sol example, those carried our with cDNA microarrays or oligonucleotide chips. We present an Internet-based hypertext program, MedMiner; which filters and organizes large amounts of textual and structured information returned from public search engines like GeneCards and PubMed We demonstrate the value of the approach for the analysts of gene expression data, but MedMiner can also be extended to other areas involving molecular genetic or pharmacological information. More generally still, MedMiner can be used to organize the information returned from any arbitrary PubMed search.