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Neural network architecture search with AMBER

Deep learning applied to genomics can learn patterns in biological sequences, but designing such models requires expertise and effort. Recent work demonstrates the efficiency of a neural network architecture search algorithm in optimizing genomic models.

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Fig. 1: Neural architecture search for genomic problems.


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Correspondence to X. Shirley Liu.

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Competing interests

X.S.L. is a cofounder, board member, SAB, and consultant of GV20 Oncotherapy and its subsidiaries, SAB of 3DMedCare, consultant for Genentech, and stockholder of AMGN, JNJ, MRK, PFE, and receives sponsored research funding from Takeda and Sanofi.

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Zhang, Y., Liu, Y. & Liu, X.S. Neural network architecture search with AMBER. Nat Mach Intell 3, 372–373 (2021).

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