Briefings in Bioinformatics

AI-powered precision medicine: utilizing genetic risk factor optimization to revolutionize healthcare

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Leveraging the interconnected unfolded protein response and NLRP3 inflammasome pathways to reactivate Epstein–Barr virus in diffuse large B-cell lymphomas

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Assessing the acceptability of using patient portals to recruit pregnant women and new mothers for maternal-child health research

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Integrating public preferences to overcome racial disparities in research: findings from a US survey on enhancing trust in research data-sharing practices

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Correction to: DOMSCNet: a deep learning model for the classification of stomach cancer using multi-layer omics data

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Enhancing privacy in biosecurity with watermarked protein design

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Detecting known neoepitopes, gene fusions, transposable elements, and circular RNAs in cell-free RNA

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Chrombus-XMBD: a graph convolution model predicting 3D-genome from chromatin features

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VaxGO: An Interactive Web Tool for Systems Vaccinology Data Analysis

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Characterization of Chronic Lymphocytic Leukemia Immunoglobulin Rearrangements from Partial Read Sequencing

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In-silico identification of archaeal DNA-binding proteins

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DeepRNA-Twist: language-model-guided RNA torsion angle prediction with attention-inception network

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PSTP: accurate residue-level phase separation prediction using protein conformational and language model embeddings

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Deep scSTAR: leveraging deep learning for the extraction and enhancement of phenotype-associated features from single-cell RNA sequencing and spatial transcriptomics data

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Metabolism-associated protein network constructing and host-directed anti-influenza drug repurposing

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Biomedical Big Data and Artificial Intelligence in Blood

STABIX: Summary statistic-based GWAS indexing and compression

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XenoBug: machine learning-based tool to predict pollutant-degrading enzymes from environmental metagenomes

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Co-Design protein sequence and structure in discrete space via generative flow

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