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Titlebook: Data Integration in the Life Sciences; 7th International Co Patrick Lambrix,Graham Kemp Conference proceedings 2010 Springer-Verlag Berlin

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31#
發(fā)表于 2025-3-27 00:02:32 | 只看該作者
Computer Communications and Networkscorrect grounding to a protein sequence, independent of a protein-mutation tuple extraction task. Using a gold standard corpus of full text articles and corresponding protein sequences we show high performance precision and recall and discuss novel aspects of the algorithm in the context of previous work.
32#
發(fā)表于 2025-3-27 01:40:08 | 只看該作者
33#
發(fā)表于 2025-3-27 09:19:27 | 只看該作者
34#
發(fā)表于 2025-3-27 10:06:30 | 只看該作者
35#
發(fā)表于 2025-3-27 13:37:38 | 只看該作者
The Cinderella of Biological Data Integration: Addressing Some of the Challenges of Entity and Relatf targets not specified in titles and false-positives from non-target proteins in titles. We also examined the time-signals for selected target and non-target names by year of patent publication. Our results exemplify problems and some solutions for extracting data from this source.
36#
發(fā)表于 2025-3-27 18:44:55 | 只看該作者
37#
發(fā)表于 2025-3-28 00:51:52 | 只看該作者
An Integration Architecture Designed to Deal with the Issues of Biological Scope, Scale and Complexi across heterogeneous data from approximately 20,000 patient samples.?Addama supports projects like the TCGA through accepting that biological understanding continually changes, and that the rapid integration of new information and analyses is an essential requirement when supporting research.
38#
發(fā)表于 2025-3-28 02:52:07 | 只看該作者
https://doi.org/10.1007/978-1-60327-365-7provide building blocks for large scale, high-performance analytical image exploration systems, through rich metadata models, comprehensive query and data access capabilities, and efficient database and HPC support.
39#
發(fā)表于 2025-3-28 07:11:13 | 只看該作者
Isolation and Culture Techniquesns impossible. We therefore propose an approach to automatically discover evolving or stable ontology regions. We evaluate the approach by studying evolving regions in the Gene Ontology and the NCI Thesaurus.
40#
發(fā)表于 2025-3-28 12:21:07 | 只看該作者
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