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A Graph Based Method for the Prediction of Backbone Trace from Cryo-EM Density Maps.

, и . BCB, стр. 691-697. ACM, (2017)

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Si Gangyan

Si Yang

Zhongyi Si

Yuefang Si

Han Si

 

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Oceanic forcings of the interdecadal variability in East Asian summer rainfall, и . J. Climate, (01.08.2016)Who's Next: Evaluating Attrition with Machine Learning Algorithms and Survival Analysis., и . BigData Congress, том 10968 из Lecture Notes in Computer Science, стр. 251-259. Springer, (2018)A Constrained K-shortest Path Algorithm to Rank the Topologies of the Protein Secondary Structure Elements Detected in CryoEM Volume Maps., , , , , и . BCB, стр. 749. ACM, (2013)Comparison of Feature Reduction Methods and Machine Learning Models for Breast Cancer Diagnosis., и . ICCDA, стр. 69-74. ACM, (2017)Fast and automated protein-DNA/RNA macromolecular complex modeling from cryo-EM maps., , , , , , и . Briefings Bioinform., (марта 2023)Traveler's Next Activity Predication with Location-Based Social Network Data., , и . PredictGIS@SIGSPATIAL, стр. 15-23. ACM, (2019)TopQA: a topological representation for single-model protein quality assessment with machine learning., , , , , , и . Int. J. Comput. Biol. Drug Des., 13 (1): 144-153 (2020)Prediction of Insurance Claim Severity Loss Using Regression Models., и . MLDM, том 10358 из Lecture Notes in Computer Science, стр. 233-247. Springer, (2017)A Constraint Dynamic Graph Approach to Identify the Secondary Structure Topology from cryoEM Density Data in Presence of Errors., , , , , и . BIBM, стр. 160-163. IEEE Computer Society, (2011)Deep graph learning to estimate protein model quality using structural constraints from multiple sequence alignments., , , , , и . BCB, стр. 21:1-21:10. ACM, (2022)