首页|Swiss Federal Institute of Technology Zurich (ETH) Reports Findings in Antibody Engineering (Meta learning addresses noisy and under-labeled data in machine learning-guided antibody engineering)

Swiss Federal Institute of Technology Zurich (ETH) Reports Findings in Antibody Engineering (Meta learning addresses noisy and under-labeled data in machine learning-guided antibody engineering)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Bioengineering - Antibody Engineering is the subject of a report. Accordingto news originating from Basel, Switzerland, by NewsRx correspondents, research stated, “Machinelearning-guided protein engineering is rapidly progressing; however, collecting high-quality, large datasetsremains a bottleneck. Directed evolution and protein engineering studies often require extensive experimentalprocesses to eliminate noise and label protein sequence-function data.”

BaselSwitzerlandEuropeAntibodiesAntibody EngineeringBioengineeringBiotechnologyBlood ProteinsCyborgsEmerging TechnologiesEngineeringImmunoglobulinsImmunologyMachine LearningMeta LearningProtein EngineeringProteins

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jan.24)