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By extracting biologically meaningful patterns from large-scale genomic and genome-editing datasets, machine learning and deep learning algorithms can improve target selection, optimize editing strategies, and predict editing outcomes before experimental validation ( Table 4 )
doi: 10.1530/eje.0.1360445
Hence, further research needs to take this inter-individual variation into account and is discussed later in this paper ( 3
Pu et al., Highly-entangled hydrogel electrolyte for fast charging/discharging properties in aqueous zinc ion batteries
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