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Enhancing genomic data synthesis: A WGAN-GP approach for haplotype generation and evaluation using quasi Manhattan Wasserstein distance

2024-02-07

Abstract excerpt

<title>Abstract</title> <p><bold>Background</bold> The utilization and translation of genomic data from large biobanks has revolutionized the field of biomedical research, drug development and precision medicine. Despite the advances in genetic epidemiology research, limited sample size of certain rare diseases and minority population remains a critical issue. As an alternative to collecting more samples, generat...

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Literature Corpus work
d298a940-0a19-54de-8948-52854821fd4e
DOI
10.21203/rs.3.rs-3893219/v1
Open publication

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Enhancing genomic data synthesis: A WGAN-GP approach for haplotype generation and evaluation using quasi Manhattan Wasserstein distanceDOI 10.21203/rs.3.rs-3893219/v1
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