用支持向量机和文本处理表示细胞线条

Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics Pub Date : 2020-09-21 DOI:10.1145/3388440.3414912

I. Carrera, I. Dutra, E. Tejera

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引用次数: 0

摘要

预测细胞系与化合物相互作用的一个主要问题是缺乏细胞系的计算表示。我们从科学文献中描述了一种表征细胞系的方法。我们检索和处理与细胞系相关的科学论文，执行文档分类算法，然后获得每个细胞系的信息空间描述。我们已经成功地鉴定了一组300多个细胞系。

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Representing Cellular Lines with SVM and Text Processing

A main problem for predicting cell line interactions with chemical compounds is the lack of a computational representation for cell lines. We describe a method for characterizing cell lines from scientific literature. We retrieve and process cell line-related scientific papers, perform a document classification algorithm, and then obtain a description of the information space of each cell line. We have successfully characterized a set of 300+ cell lines.

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Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics

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