MetaFusion: a high-confidence metacaller for filtering and prioritizing RNA-seq gene fusion candidates | Zendy

Michael Apostolides | Zendy; Yue Jiang | Zendy; Mia Husić | Zendy; Robert Siddaway | Zendy; Cynthia Hawkins | Zendy; Andrei L. Turinsky | Zendy; Michael Brudno | Zendy; Arun Ramani | Zendy

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MetaFusion: a high-confidence metacaller for filtering and prioritizing RNA-seq gene fusion candidates

Author(s) -

Michael Apostolides,

Yue Jiang,

Mia Husić,

Robert Siddaway,

Cynthia Hawkins,

Andrei L. Turinsky,

Michael Brudno,

Arun Ramani

Publication year - 2021

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btab249

Subject(s) - computer science , benchmarking , data mining , graph , fusion , cluster analysis , precision and recall , majority rule , selection (genetic algorithm) , machine learning , information retrieval , artificial intelligence , theoretical computer science , linguistics , philosophy , marketing , business

Current fusion detection tools use diverse calling approaches and provide varying results, making selection of the appropriate tool challenging. Ensemble fusion calling techniques appear promising; however, current options have limited accessibility and function.

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