logo
ResearchBunny Logo
Can Deep Learning Crack the Genetic Code? A Data-Driven Approach

Biology

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.

00:00
00:00
~3 min • Beginner • English
Citation Metrics
Citations
0
Influential Citations
0
Reference Count
0

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

Related Publications

Explore these studies to deepen your understanding of the subject.

A multimodal deep learning approach for the prediction of cognitive decline and its effectiveness in clinical trials for Alzheimer’s disease
Medicine and Health

A multimodal deep learning approach for the prediction of cognitive decline and its effectiveness in clinical trials for Alzheimer’s disease

C. Wang, H. Tachimori, et al.

Naturalistic multimodal emotion data with deep learning can advance the theoretical understanding of emotion
Psychology

Naturalistic multimodal emotion data with deep learning can advance the theoretical understanding of emotion

T. Angkasirisan

The futility of economic sanctions in a globalized and interdependent world: a data-driven game theoretical study
Economics

The futility of economic sanctions in a globalized and interdependent world: a data-driven game theoretical study

Y. Ye and Q. Zhang

A social networks-driven approach to understand the unique alcohol mixing patterns of tuberculosis patients: reporting methods and findings from a high TB-burden setting
Medicine and Health

A social networks-driven approach to understand the unique alcohol mixing patterns of tuberculosis patients: reporting methods and findings from a high TB-burden setting

K. Nagarajan, B. Palani, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny