Abstract
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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Carrera, I., Dutra, I., & Tejera, E. (2020). Representing Cellular Lines with SVM and Text Processing. In Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, BCB 2020. Association for Computing Machinery, Inc. https://doi.org/10.1145/3388440.3414912
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