011: AI in biology: distinguishing hype from reality
OMGenomics Podcast
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AI and Genomics: Bridging the Gap
This chapter focuses on the integration of AI and machine learning in genomics, addressing the complexities of scalability and accurate gene function analysis. It explores the balance between data-driven methods and traditional experimental techniques, emphasizing the importance of proper genomic annotation for advancements in diverse biological fields. The discussion highlights innovative methodologies and collaborative approaches aimed at improving the understanding of protein functions and genomic data integrity.
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