Mostrando 501 - 520 Resultados de 228,093 Para Buscar '"pub"', tiempo de consulta: 0.51s Limitar resultados
  1. 501
    por Niu, Yun, Otasek, David, Jurisica, Igor
    Publicado 2010
    “…In addition to test datasets, we evaluated the performance on interactions from five human-curated databases—BIND, DIP, HPRD, IntAct and MINT—where our system consistently identified evidence for ∼60% of interactions when both proteins appear in at least one sentence in the PubMed abstract. We then applied the system to extract articles from PubMed to annotate known, high-throughput and interologous interactions in I(2)D. …”
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  2. 502
    por Chen, Chou-Cheng, Ho, Chung-Liang
    Publicado 2014
    “…We present the PubMed Abstract Reading Helper (PubstractHelper) website which combines text mining and reading assistance for an efficient PubMed search. …”
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  3. 503
    “…This study investigates and compares the systematic search qualities of 28 widely used academic search systems, including Google Scholar, PubMed, and Web of Science. A novel, query‐based method tests how well users are able to interact and retrieve records with each system. …”
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  4. 504
  5. 505
    “…Methods: All in vivo studies published as full-text articles in two PubMed indexed journals (one Indian and one international) from January 2011 to December 2019 and satisfying the inclusion norms were included. …”
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  6. 506
  7. 507
    “…Two homozygous KO lines were produced, each having a 1-bp insertion in OsPUB3 which caused frameshift mutation and premature termination. …”
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  8. 508
    Publicado 1897
    Libro
  9. 509
  10. 510
    “…RESULTS: PMD2HD is a web tool implementing Z39.50 to provide an appropriately functional and usable interface to integrate into the typical workflow that follows an initial PubMed literature search, providing users with an immediate asset to assist in the most tedious step in literature retrieval, checking for subscription holdings against a local online catalogue. …”
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  11. 511
    “…We validated our approach based on different gene phenotypic profiles, which were generated from PubMed abstracts, OMIM, and GeneRIF records. We also investigated the validity of several vocabulary filters and different likelihood thresholds for predicted protein-protein interactions in terms of their effect on the network-based gene-prioritization approach, which relies on text-mining of the phenotype data. …”
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  12. 512
    por Spiroski, Mirko
    Publicado 2016
    “…RCR of the most influenced individual papers deposited in PubMed has shown the biggest value for the paper of Efremov D (35.19). …”
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  13. 513
    “…Transient overexpression of either of the two biochemically inactive mutants (OsPUB41C40A and OsPUB41V51R) of OsPUB41 in rice and stable transgenics in Arabidopsis ectopically expressing OsPUB41C40A failed to elicit immune responses. …”
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  14. 514
    “…To address this gap, we developed a model that uses text-mining, machine learning, and natural language processing approaches to automate search, data extraction, and content analysis from DOHaD-related research articles available in PubMed. Our first model captured 2469 articles, which were subsequently categorised into topics based on word frequencies within the titles and abstracts. …”
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  15. 515
  16. 516
  17. 517
  18. 518
  19. 519
    Publicado 1955
    Libro
  20. 520
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