Gene expression prediction uses DNA sequence data to estimate how genes activate in specific cells or conditions. Powered by machine learning, it decodes regulatory elements governing transcription. Researchers apply it to understand disease mechanisms, drug responses, and development. Benefits extend to genomic medicine, agriculture, and biotechnology, enabling tailored therapies and crop improvements.
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