Bioinformatics
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Metagenome-assembled genomes from a population-based cohort uncover novel gut species and within-species diversity, revealing prevalent disease associations
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ConvCGP: A Convolutional Neural Network to Predict Genotypic Values of Rice Traits from Compressed Genome-Wide Polymorphisms
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A Large-Scale Foundation Model for RNA Function and Structure Prediction
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Miniature: Unsupervised glimpses into multiplexed tissue imaging datasets as thumbnails for data portals
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Single-Cell and Spatial Transcriptomic Analyses Reveals the Dynamic Transcript Profiles of Myocardial Lymphangiogenesis post Myocardial Infarction
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Statistical analysis supports pervasive RNA subcellular localization and alternative 3’ UTR regulation
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Discovering genotype-phenotype relationships with machine learning and the Visual Physiology Opsin Database (VPOD)
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CoCoPyE: feature engineering for learning and prediction of genome quality indices
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spatiAlign: An Unsupervised Contrastive Learning Model for Data Integration of Spatially Resolved Transcriptomics
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A data standard for the reuse and reproducibility of any stable isotope probing-derived nucleic acid sequence (MISIP)
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