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A physics-guided automated machine learning approach for obtaining surface radiometric temperatures on sunny days based on UAV-derived images.
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Improving Genetic Perturbation Response Prediction with an Enhanced Biological Knowledge Graph.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
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The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci.
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Nat. Comput. Sci., 2023
TVAR: assessing tissue-specific functional effects of non-coding variants with deep learning.
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De novo pattern discovery enables robust assessment of functional consequences of non-coding variants.
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Cancer driver gene discovery through an integrative genomics approach in a non-parametric Bayesian framework.
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A Bayesian framework for <i>de novo</i> mutation calling in parents-offspring trios.
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A haplotype-based framework for group-wise transmission/disequilibrium tests for rare variant association analysis.
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A comparison of microRNA sequencing reproducibility and noise reduction using mirVana and TRIzol isolation methods.
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CLIP-EZ: a computational tool for HITS-CLIP data analysis.
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