A deep-learning-based genomic status estimating framework for homologous recombination deficiency detection from low-pass whole genome sequencing

A deep-learning-based genomic status estimating framework for homologous recombination deficiency detection from low-pass whole genome sequencing

Genome-wide sequencing allows for prediction of clinical treatment responses and outcomes by estimating genomic status. Here, we developed Genomic Status scan (GSscan), a long short-term memory (LSTM)-based deep-learning framework, which utilizes low-pass whole genome sequencing (WGS) data to captur...

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Bibliographic Details
Main Authors: Yang Liu, Xiang Bi, Yang Leng, Dan Chen, Juan Wang, Youjia Ma, Min-Zhe Zhang, Bo-Wei Han, Yalun Li
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:Heliyon
Subjects:
Homologous recombination deficiency
Deep learning
Genome sequencing
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024021522

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http://www.sciencedirect.com/science/article/pii/S2405844024021522

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