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Integrative machine learning approach for forecasting lung cancer chemosensitivity: From algorithm to cell line validation
Published 2025-01-01“…Methods: This study developed a model to predict chemotherapy response in lung cancer patients by integrating multi-omics and clinical data from the Genomics of Drug Sensitivity in Cancer database, employing 45 machine learning algorithms. …”
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Data-Efficient Approach to Humanoid Control by Fine-Tuning a Pre-Trained GPT on Action Data
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A data-driven state identification method for intelligent control of the joint station export system
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Augmentation method of fatigue data of welded structures based on physics-informed CTGAN
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STUDENTS’ NONLINEAR EDUCATIONAL TRAJECTORIES AS A SIGN OF LEADERSHIP-ORIENTED UNIVERSITIES
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Market Phases and Price Discovery in NFTs: A Deep Learning Approach to Digital Asset Valuation
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Forecasting agricultural tourism experience quality using internet of things and big data in China
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Lipoprotein cholesterol ratios and cardiovascular disease risk in US adults: a cross-sectional study
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Economic Operation Optimization for New Energy Microgrid Based on Deterministic Method
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Comprehensive phylogenetic analysis of the ribonucleotide reductase family reveals an ancestral clade
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