BiologyFrontiers in Artificial Intelligence
Can Deep Learning Crack the Genetic Code? A Data-Driven Approach
M. Joiret, G. Gianini, et al.
This groundbreaking study explores how neural networks can crack the genetic code mapping between codons and amino acids, revealing that millions of codon-amino acid pairs are essential for high accuracy. Conducted by a team of experts, including Marc Joiret and Gabriele Gianini, this research highlights the potential of deep learning to efficiently learn biological complexities.
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