Differences in computing performance between ENQUIRE’s gene normalization algorithm and GNorm2-Bioformer.

<p>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...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Luca Musella (19986312) (author)
مؤلفون آخرون:	Alejandro Afonso Castro (20707500) (author), Xin Lai (685589) (author), Max Widmann (17298988) (author), Julio Vera (86706) (author)
منشور في:	2025
الموضوعات:	Genetics Molecular Biology Developmental Biology Cancer Infectious Diseases Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified selected input corpora scientific literature overwhelms manual literature curation inferred pubmed queries enriched pathways unique easing literature annotation drives enrichment analysis boosting hypothesis formulation querying unexpectedly inter database annotation limit underlying context specificity modest resource usage enquire automatically reconstructs occurrence gene networks occurrence networks enquire reconstructs database mining automatic querying functional networks expanding networks xlink "> thereby preserving text mining scope applications related entities reflect high molecular targets mesh co generate co efficient alternative cell differentiation biomedical research biomedical ontologies accelerating growth
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Differences in computing performance between ENQUIRE’s gene normalization algorithm and GNorm2-Bioformer.

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