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Explore reliable machine learning techniques for healthcare applications, focusing on survival models, dependent censoring, and covariate shift detection to enhance medical decision-making.
Explore the integration of biobanks and cohort studies to enhance genetic research and improve understanding of complex diseases.
Explore mixed models in genomics and imaging, focusing on efficient set tests, Gaussian process priors, gene-environment interactions, and neural networks for histologic feature quantification.
Explore large language models in computational biology, covering transformers, pretraining, and applications in genomics and single-cell analysis.
Explore advanced phylogenetic reconstruction techniques using genome dynamics, including horizontal gene transfer, gene content, and microsynteny-based approaches for prokaryotes and angiosperms.
Explore the Poisson Random Field model's applications in population genetics, gaining insights into its theoretical foundations and practical implications.
Explore multiscale metrics for comparing spatial transcriptomics datasets, enhancing your understanding of advanced genomic analysis techniques.
Explore deep learning applications in genomics and digital pathology, focusing on cutting-edge research and practical implementations in healthcare.
Explore machine learning techniques for analyzing large-scale biobank data, focusing on genetic architecture, variance components, and interactions in complex traits. Gain insights from UK Biobank applications.
Explore computational methods for modeling and analyzing epigenomic data, covering ChromHMM, multivariate Hidden Markov Models, and integrating multiple chromatin markers across cell types.
Explore ML models bridging medical insights for radiology applications. Learn about self-supervised representation, progressive exaggeration, contrastive learning, causal analysis, and association tests in medical imaging.
Explore data geometry techniques for biomedical insights, covering manifolds, diffusion operators, and spectral clustering in stem cell development and density estimation.
Explore personalized genomic medicine using large-scale biobanks and medical records. Learn about leveraging genomic diversity for discovery and promoting precision health research in diverse populations.
Explore insights from the largest genome-wide association study on human height, examining genetic variants, heritability, and the impact of rare variations on this complex trait.
Explore applying polygenic scores at biobank scale, examining reporting standards, reproducibility, health disparities, and clinical applications in genomic risk prediction.
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