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Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities

, , , , , , , , и . (2023)
DOI: 10.4230/TGDK.1.1.5

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Rudolf Skoda

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Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities, , , , , , , , и . (2023)cite arxiv:2309.17255Comment: 32 pages, 1 figure, accepted for Transactions on Graph Data and Knowledge (TGDK).Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities, , , , , , , , и . (2023)Using Bayesian modeling on molecular fragments features for virtual screening., и . CIBCB, стр. 1-6. IEEE, (2016)Upcoming Features of SPLAT-VO in Astroinformatics., , , и . NOSTRADAMUS, том 210 из Advances in Intelligent Systems and Computing, стр. 475-486. Springer, (2013)Astroinformatics: Getting New Knowledge from the Astronomical Data Avalanche.. NOSTRADAMUS, том 210 из Advances in Intelligent Systems and Computing, стр. 15. Springer, (2013)Computability of Width of Submodular Partition Functions.. IWOCA, том 5874 из Lecture Notes in Computer Science, стр. 450-459. Springer, (2009)Spectroscopic analysis in the virtual observatory environment with SPLAT-VO., , , , и . Astron. Comput., (2014)Utilizing knowledge base of amino acids structural neighborhoods to predict protein-protein interaction sites., , и . BMC Bioinform., 18 (15): 63-72 (2017)Scaffold-based chemical space exploration., и . BIBM, стр. 1-3. IEEE Computer Society, (2014)Explainable Similarity of Datasets Using Knowledge Graph., , , и . SISAP, том 11807 из Lecture Notes in Computer Science, стр. 103-110. Springer, (2019)