@inproceedings{f197c73a9b1446e5b5058e1596246ee0,
title = "When Mathematics Outsmarts Cancer",
abstract = "Mathematics has become essential in cancer biology. Recent developments in high-throughput molecular profiling techniques enable assessing molecular states of tumors in great detail. Cancer genome data are collected at a large scale in numerous clinical studies and in international consortia, such as The Cancer Genome Atlas and the International Cancer Genome Consortium. Developing mathematical models that are consistent with and predictive of the true underlying biological mechanisms is a central goal of cancer biology. In this work, we used percolations and power-law models to study protein-protein interactions in cancer fusions. We used site-directed knockouts to understand the modular components of fusion protein-protein interaction networks, thereby providing models for target-based drug predictions.",
keywords = "Fusion proteins, Protein-protein interaction networks, Site-directed percolations",
author = "Somnath Tagore and Milana Frenkel-Morgenstern",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 7th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2019 ; Conference date: 08-05-2019 Through 10-05-2019",
year = "2019",
doi = "https://doi.org/10.1007/978-3-030-17938-0_42",
language = "الإنجليزيّة",
isbn = "9783030179373",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "477--485",
editor = "Olga Valenzuela and Francisco Ortu{\~n}o and Ignacio Rojas and Fernando Rojas",
booktitle = "Bioinformatics and Biomedical Engineering - 7th International Work-Conference, IWBBIO 2019, Proceedings",
address = "ألمانيا",
}
