Machine learning applications for transcription level and phenotype predictions.

Abstract excerpt

Predicting phenotypes and complex traits from genomic variations has always been a big challenge in molecular biology, at least in part because the task is often complicated by the influences of external stimuli and the environment on regulation of gene expression. With today's abundance of omic data and advances in high-throughput computing and machine learning (ML), we now have an unprecedented opportunity to...

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• Genome
• Genomics
• Machine Learning
• Phenotype
• Reproducibility of Results