Article

Robustifying genomic classifiers to batch effects via ensemble learning

2019-07-20

Abstract excerpt

Genomic data are often produced in batches due to practical restrictions, which may lead to unwanted variation in data caused by discrepancies across processing batches. Such “batch effects” often have negative impact on downstream biological analysis and need careful consideration. In practice, batch effects are usually addressed by specifically designed software, which merge the data from different batches, then...

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Literature Corpus work: f2dab661-6a02-5788-ba99-952c4943fd8d
DOI: 10.1101/703587

Open publication

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