Works matching IS 14675463 AND DT 2024 AND VI 25 AND IP 6
Results: 135
A metagene based similarity network fusion approach for multi-omics data integration identified novel subtypes in renal cell carcinoma.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae606
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- Article
Correction to: Structure prediction of linear and cyclic peptides using CABS-flex.
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- 2024
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- Correction Notice
The mathematical exploration for the mechanism of lung adenocarcinoma formation and progression.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae603
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MetaAll: integrative bioinformatics workflow for analysing clinical metagenomic data.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae597
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Precision DNA methylation typing via hierarchical clustering of Nanopore current signals and attention-based neural network.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae596
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SIngle cell level Genotyping Using scRna Data (SIGURD).
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae604
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RiceSNP-BST: a deep learning framework for predicting biotic stress–associated SNPs in rice.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae599
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MPA-MutPred: a novel strategy for accurately predicting the binding affinity change upon mutation in membrane protein complexes.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae598
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Nmix: a hybrid deep learning model for precise prediction of 2'-O-methylation sites based on multi-feature fusion and ensemble learning.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae601
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Digital annealing optimization for natural product structure elucidation.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae600
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BFAST: joint dimension reduction and spatial clustering with Bayesian factor analysis for zero-inflated spatial transcriptomics data.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae594
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Deciphering lineage-relevant gene regulatory networks during endoderm formation by InPheRNo-ChIP.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae592
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CMTT-JTracker: a fully test-time adaptive framework serving automated cell lineage construction.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae591
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Deciphering gene expression patterns using large-scale transcriptomic data and its applications.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae590
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A gentle introduction to pangenomics.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae588
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- Article
TIPS: a novel pathway-guided joint model for transcriptome-wide association studies.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae587
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Robust self-supervised learning strategy to tackle the inherent sparsity in single-cell RNA-seq data.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae586
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Molecular group and correlation guided structural learning for multi-phenotype prediction.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae585
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Adversarial regularized autoencoder graph neural network for microbe-disease associations prediction.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae584
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ToxGIN: an In silico prediction model for peptide toxicity via graph isomorphism networks integrating peptide sequence and structure information.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae583
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Unlocking cross-modal interplay of single-cell joint profiling with CellMATE.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae582
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Predicting bacterial transcription factor binding sites through machine learning and structural characterization based on DNA duplex stability.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae581
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mbDriver: identifying driver microbes in microbial communities based on time-series microbiome data.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae580
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SpaGIC: graph-informed clustering in spatial transcriptomics via self-supervised contrastive learning.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae578
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scTCA: a hybrid Transformer-CNN architecture for imputation and denoising of scDNA-seq data.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae577
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Graph domain adaptation–based framework for gene expression enhancement and cell type identification in large-scale spatially resolved transcriptomics.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae576
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A multichannel graph neural network based on multisimilarity modality hypergraph contrastive learning for predicting unknown types of cancer biomarkers.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae575
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Generating pregnant patient biological profiles by deconvoluting clinical records with electronic health record foundation models.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae574
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A multi-task prediction method based on neighborhood structure embedding and signed graph representation learning to infer the relationship between circRNA, miRNA, and cancer.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae573
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Identifying cell types by lasso-constraint regularized Gaussian graphical model based on weighted distance penalty.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae572
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SpaDiT: diffusion transformer for spatial gene expression prediction using scRNA-seq.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae571
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Making PBPK models more reproducible in practice.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae569
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Deep learning model for protein multi-label subcellular localization and function prediction based on multi-task collaborative training.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae568
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Graph databases in systems biology: a systematic review.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae561
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Model ensembling as a tool to form interpretable multi-omic predictors of cancer pharmacosensitivity.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae567
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siRNADiscovery: a graph neural network for siRNA efficacy prediction via deep RNA sequence analysis.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae563
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AIGen: an artificial intelligence software for complex genetic data analysis.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae566
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DEWNA: dynamic entropy weight network analysis and its application to the DNA-binding proteome in A549 cells with cisplatin-induced damage.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae564
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Multi-level multi-view network based on structural contrastive learning for scRNA-seq data clustering.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae562
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Prototype-based contrastive substructure identification for molecular property prediction.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae565
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Semi-supervised learning with pseudo-labeling compares favorably with large language models for regulatory sequence prediction.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae560
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GGN-GO: geometric graph networks for predicting protein function by multi-scale structure features.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae559
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Graph contrastive learning as a versatile foundation for advanced scRNA-seq data analysis.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae558
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A consensus-based classification workflow to determine genetically inferred ancestry from comprehensive genomic profiling of patients with solid tumors.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae557
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An unbiased comparison of immunoglobulin sequence aligners.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae556
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scDTL: enhancing single-cell RNA-seq imputation through deep transfer learning with bulk cell information.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae555
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STAVER: a standardized benchmark dataset-based algorithm for effective variation reduction in large-scale DIA-MS data.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae553
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IMGT/RobustpMHC: robust training for class-I MHC peptide binding prediction.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae552
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Multimodal contrastive learning for spatial gene expression prediction using histology images.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae551
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Progress and opportunities of foundation models in bioinformatics.
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- Briefings in Bioinformatics, 2024, v. 25, n. 6, p. 1, doi. 10.1093/bib/bbae548
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