NAIAD uses single-gene effects plus adaptive embeddings and maximum-predicted-effect sampling to discover the strongest gene pairs in combinatorial CRISPR screens with fewer experimental rounds.
Combinatorial Drug Therapy for Cancer in the Post-Genomic Era
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Active learning for efficient discovery of optimal gene combinations in the combinatorial perturbation space
NAIAD uses single-gene effects plus adaptive embeddings and maximum-predicted-effect sampling to discover the strongest gene pairs in combinatorial CRISPR screens with fewer experimental rounds.