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Role of Gut and Urinary Microbiome in Children with Urinary Tract Infections: A Systematic Review
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Cellular functions and biomedical applications of circular RNAs
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Molecular and pharmacological heterogeneity of ETV6::RUNX1 acute lymphoblastic leukemia
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Abundant repressor binding sites in human enhancers are associated with the fine-tuning of gene regulation
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Virtual Screening as a Technique for PPAR Modulator Discovery
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Single-cell RNA-seq data augmentation using generative Fourier transformer
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The PRC2.1 subcomplex opposes G1 progression through regulation of CCND1 and CCND2
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Pre-processing of paleogenomes: mitigating reference bias and postmortem damage in ancient genome data
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From Ontology to Semantic Similarity: Calculation of Ontology-Based Semantic Similarity
Published 2013-01-01“…Ontologies, as abstract description systems for domain-specific knowledge composition, hence receive more and more attention in computational biology and bioinformatics. Particularly, many applications relying on domain ontologies require quantitative measures of relationships between terms in the ontologies, making it indispensable to develop computational methods for the derivation of ontology-based semantic similarity between terms. …”
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An Efficient Approach to Mining Maximal Contiguous Frequent Patterns from Large DNA Sequence Databases
Published 2012-03-01“…Mining interesting patterns from DNA sequences is one of the most challenging tasks in bioinformatics and computational biology. Maximal contiguous frequent patterns are preferable for expressing the function and structure of DNA sequences and hence can capture the common data characteristics among related sequences. …”
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Validation of histopathology foundation models through whole slide image retrieval
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PIPENN-EMB ensemble net and protein embeddings generalise protein interface prediction beyond homology
Published 2025-02-01“…Abstract Protein interactions are crucial for understanding biological functions and disease mechanisms, but predicting these remains a complex task in computational biology. Increasingly, Deep Learning models are having success in interface prediction. …”
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Machine learning of swimming data via wisdom of crowd and regression analysis
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