Volume 24, 2025

Exploring the impact of N4-acetylcytidine modification in RNA on non-neoplastic disease: unveiling its role in pathogenesis and therapeutic opportunities

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Environmental community transcriptomics: strategies and struggles

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pyRforest: a comprehensive R package for genomic data analysis featuring scikit-learn Random Forests in R

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Less is more: relative rank is more informative than absolute abundance for compositional NGS data

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Beyond the hype: using AI, big data, wearable devices, and the internet of things for high-throughput livestock phenotyping

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A review of artificial intelligence-based brain age estimation and its applications for related diseases

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Application of computational algorithms for single-cell RNA-seq and ATAC-seq in neurodegenerative diseases

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Using artificial intelligence and statistics for managing peritoneal metastases from gastrointestinal cancers

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m6A RNA modification pathway: orchestrating fibrotic mechanisms across multiple organs

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A comprehensive review of deep learning-based approaches for drug–drug interaction prediction

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Advances in computer vision and deep learning-facilitated early detection of melanoma

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Recent advances in investigation of circRNA/lncRNA-miRNA-mRNA networks through RNA sequencing data analysis

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STLBRF: an improved random forest algorithm based on standardized-threshold for feature screening of gene expression data

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Systematic analysis of the transcriptional landscape of melanoma reveals drug-target expression plasticity

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Crosstalk between genomic variants and DNA methylation in FLT3 mutant acute myeloid leukemia

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Systematic benchmark of single-cell hashtag demultiplexing approaches reveals robust performance of a clustering-based method

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DeepMEns: an ensemble model for predicting sgRNA on-target activity based on multiple features

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A lossless reference-free sequence compression algorithm leveraging grammatical, statistical, and substitution rules

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MolEpidPred: a novel computational tool for the molecular epidemiology of foot-and-mouth disease virus using VP1 nucleotide sequence data

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EnsembleSE: identification of super-enhancers based on ensemble learning

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Integrative machine learning approach for identification of new molecular scaffold and prediction of inhibition responses in cancer cells using multi-omics data

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Pregnancy-specific glycoproteins as potential drug targets for female lung adenocarcinoma patients

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Correction to: Emerging challenge: dynamic solution structures of nucleic acids

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