The personalized cancer network explorer (PeCaX) as a visual analytics tool to support molecular tumor boards
Abstract Background Personalized oncology represents a shift in cancer treatment from conventional methods to target specific therapies where the decisions are made based on the patient specific tumor profile. Selection of the optimal therapy relies on a complex interdisciplinary analysis and interp...
Main Authors: | Mirjam Figaschewski, Bilge Sürün, Thorsten Tiede, Oliver Kohlbacher |
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Format: | Article |
Language: | English |
Published: |
BMC
2023-03-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12859-023-05194-3 |
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