Improved detection of clinically relevant fusion transcripts in cancer by machine learning classification

Improved detection of clinically relevant fusion transcripts in cancer by machine learning classification

Abstract Background Genomic rearrangements in cancer cells can create fusion genes that encode chimeric proteins or alter the expression of coding and non-coding RNAs. In some cancer types, fusions involving specific kinases are used as targets for therapy. Fusion genes can be detected by whole geno...

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Bibliographic Details
Main Authors: Völundur Hafstað, Jari Häkkinen, Malin Larsson, Johan Staaf, Johan Vallon-Christersson, Helena Persson
Format: Article
Language:English
Published: BMC 2023-12-01
Series:BMC Genomics
Subjects:
Fusion transcript
Gene fusion
Cancer genomics
Tumor biology
Precision medicine
Machine learning
Online Access:https://doi.org/10.1186/s12864-023-09889-y

Internet

https://doi.org/10.1186/s12864-023-09889-y

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