Differences in computing performance between ENQUIRE’s gene normalization algorithm and GNorm2-Bioformer.
收藏Figshare2025-02-11 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Differences_in_computing_performance_between_ENQUIRE_s_gene_normalization_algorithm_and_GNorm2-Bioformer_We_ran_the_computations_on_a_Linux_computer_with_20_CPUs_3_1_GHz_and_252_GB_of_RAM_Up_to_8_cores_were_used_for_parallelization_Maximum_/28394505
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We ran the computations on a Linux computer with 20 CPUs (3.1 GHz) and 252 GB of RAM. Up to 8 cores were used for parallelization. Maximum RAM usage was measured as resident set size (RSS). Estimated time in seconds per processed abstract (sec/abstract) also accounts for loading gene alias lookup tables and machine learning models.
创建时间：
2025-02-11
