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Studies in Health Technology and Informatics|August 23, 2024
Beyond Docker: Enhancing vantage6 with Kubernetes for Federated LearningHéctor Cadavid, Cunliang Geng
Studies in Health Technology and Informatics|August 23, 2024
Leveraging FHIR in Federated Learning Environments: A Data Harmonization Framework for Cohort StudiesHéctor Cadavid, Bauke Arends
Studies in Health Technology and Informatics|August 23, 2024
GameBus on FHIRCunliang Geng, Alireza Khanshan, Pieter van Gorp
Protein Engineering, Design & Selection : PEDS|June 11, 2016
Exploring the interplay between experimental methods and the performance of predictors of binding affinity change upon mutations in protein complexesCunliang Geng, Anna Vangone, Alexandre M J J Bonvin
The Journal of Biological Chemistry|March 20, 2012
N-glycoform diversity of cellobiohydrolase I from Penicillium decumbens and synergism of nonhydrolytic glycoform in cellulose degradationLe Gao, Feng Gao, Lushan Wang, et al.
Methods in Molecular Biology (Clifton, N.J.)|February 26, 2017
Information-Driven, Ensemble Flexible Peptide Docking Using HADDOCKCunliang Geng, Siddarth Narasimhan, João P G L M Rodrigues, et al.
Biomolecules|January 21, 2023
MetaScore: A Novel Machine-Learning-Based Approach to Improve Traditional Scoring Functions for Scoring Protein-Protein Docking ConformationsYong Jung, Cunliang Geng, Alexandre M J J Bonvin, et al.
Proteins|November 13, 2018
iSEE: Interface structure, evolution, and energy-based machine learning predictor of binding affinity changes upon mutationsCunliang Geng, Anna Vangone, Gert E Folkers, et al.
Softwarex|April 14, 2022
iScore: An MPI supported software for ranking protein-protein docking models based on a random walk graph kernel and support vector machinesNicolas Renaud, Yong Jung, Vasant Honavar, et al.
Bioinformatics (Oxford, England)|June 15, 2019
iScore: a novel graph kernel-based function for scoring protein-protein docking modelsCunliang Geng, Yong Jung, Nicolas Renaud, et al.
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