A large benchmark finds traditional imputation methods for scRNA-seq data generally outperform deep learning ones, but numerical recovery does not reliably improve biological downstream analyses and no method wins across all settings.
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scBench-Long is a benchmark with 21 evaluations where the strongest AI model-harness pair succeeds on 25.4% of long-horizon single-cell biology tasks.
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A Large-Scale Comparative Analysis of Imputation Methods for Single-Cell RNA Sequencing Data
A large benchmark finds traditional imputation methods for scRNA-seq data generally outperform deep learning ones, but numerical recovery does not reliably improve biological downstream analyses and no method wins across all settings.
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scBench-Long: Verifiable Benchmarking of Long-Horizon Single-Cell Biology
scBench-Long is a benchmark with 21 evaluations where the strongest AI model-harness pair succeeds on 25.4% of long-horizon single-cell biology tasks.