Workflow from Scientific Research

Left, competitors received a training dataset of random promoters and corresponding expression values. Middle, they continually refined their models and competed for dominance in a public leaderboard. Right, at the end of the challenge, they submitted a final model for evaluation using a test dataset consisting of eight sequence types: (i) high expression, (ii) low expression, (iii) native, (iv) random, (v) challenging, (vi) SNVs, (vii) motif perturbation and (viii) motif tiling.

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