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CNAPE: A Machine Learning Method for Copy Number Alteration Prediction from Gene Expression

2019-07-17

Abstract excerpt

Copy number alteration (CNA), the abnormal number of copies of genomic regions, plays a key role in cancer initiation and progression. Current high-throughput CNA detection methods, including DNA arrays and genomic sequencing, are relatively expensive and require DNA samples at a microgram level, which are not achievable in certain occasions such as clinical biopsies or single-cell genomes. Here we proposed an alt...

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Literature Corpus work
809d065d-4df1-5dd6-9767-011cb92b2141
DOI
10.1101/704486
Open publication

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CNAPE: A Machine Learning Method for Copy Number Alteration Prediction from Gene ExpressionDOI 10.1101/704486
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