Cancer Hallmarks Analytics Tool (CHAT): a text mining approach to organize and evaluate scientific literature on cancer.
Cancer Hallmarks Analytics Tool (CHAT): a text mining approach to organize and evaluate scientific literature on cancer.
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DOI：
10.1093/bioinformatics/btx454
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发表时间：
2017-12-15
期刊：
影响因子：
--
通讯作者：
Korhonen A
中科院分区：
文献类型：
--
作者：
Baker S;Ali I;Silins I;Pyysalo S;Guo Y;Högberg J;Stenius U;Korhonen A
为了了解癌症发展的分子机制，人们正在对癌症研究进行重大努力。这导致了数百万的科学文章。对现有文献进行有效和彻底的回顾对于推动新的研究至关重要。这个时间要求很高的任务可以支持新兴的计算方法，基于文本挖掘，它提供了一个很好的机会，组织和检索所需的信息，有效地从大型数据库。组织现有癌症知识的一种方法是利用广泛接受的癌症标志框架。这些标志是指细胞行为的改变，这些改变是癌细胞的特征。我们创建了一个广泛的癌症分类标志，并开发了自动文本挖掘方法和工具（CHAT），能够从PubMed检索和组织数百万与癌症相关的参考文献。通过案例分析，从内在和外在两个方面对该工具的效率和准确性进行了评价。该工具识别的相关性表明，它为组织和正确分类癌症相关文献提供了巨大的潜力。此外，该工具可用于例如鉴定与外在因素、生物标志物和治疗靶点相关的标志。CHAT可以访问：http://chat.lionproject.net。标记注释的PubMed摘要语料库和软件可在以下网址获得：http://chat.lionproject.net/about补充数据可在Bioinformatics在线获得。
To understand the molecular mechanisms involved in cancer development, significant efforts are being invested in cancer research. This has resulted in millions of scientific articles. An efficient and thorough review of the existing literature is crucially important to drive new research. This time-demanding task can be supported by emerging computational approaches based on text mining which offer a great opportunity to organize and retrieve the desired information efficiently from sizable databases. One way to organize existing knowledge on cancer is to utilize the widely accepted framework of the Hallmarks of Cancer. These hallmarks refer to the alterations in cell behaviour that characterize the cancer cell. We created an extensive Hallmarks of Cancer taxonomy and developed automatic text mining methodology and a tool (CHAT) capable of retrieving and organizing millions of cancer-related references from PubMed into the taxonomy. The efficiency and accuracy of the tool was evaluated intrinsically as well as extrinsically by case studies. The correlations identified by the tool show that it offers a great potential to organize and correctly classify cancer-related literature. Furthermore, the tool can be useful, for example, in identifying hallmarks associated with extrinsic factors, biomarkers and therapeutics targets. CHAT can be accessed at: http://chat.lionproject.net. The corpus of hallmark-annotated PubMed abstracts and the software are available at: http://chat.lionproject.net/about Supplementary data are available at Bioinformatics online.
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影响因子：
3
作者：
Statnikov, Alexander;Wang, Lily;Aliferis, Constantin F.
通讯作者：
Aliferis, Constantin F.
DOI：
10.1126/science.1260825
发表时间：
2015-01-02
期刊：
Science (New York, N.Y.)
影响因子：
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作者：
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作者：
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