Works matching IS 14675463 AND DT 2022 AND VI 23 AND IP 1
Results: 195
Erratum to: Machine learning meets omics applications and perspectives.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab560
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SIGNET: single-cell RNA-seq-based gene regulatory network prediction using multiple-layer perceptron bagging.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab547
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AMDE: a novel attention-mechanism-based multidimensional feature encoder for drug–drug interaction prediction.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab545
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Comprehensive assessment of deep generative architectures for de novo drug design.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab544
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Predicting miRNA-disease associations using an ensemble learning framework with resampling method.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab543
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TMNP: a transcriptome-based multi-scale network pharmacology platform for herbal medicine.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab542
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Detection of minor variants in Mycobacterium tuberculosis whole genome sequencing data.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab541
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Protein–RNA interaction prediction with deep learning: structure matters.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab540
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MEANGS: an efficient seed-free tool for de novo assembling animal mitochondrial genome using whole genome NGS data.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab538
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ChIP-AP: an integrated analysis pipeline for unbiased ChIP-seq analysis.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab537
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BML: a versatile web server for bipartite motif discovery.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab536
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Detection of transcription factors binding to methylated DNA by deep recurrent neural network.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab533
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Letter to the Editor: on the stability and internal consistency of component-wise sparse mixture regression-based clustering.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab532
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Deep learning tackles single-cell analysis—a survey of deep learning for scRNA-seq analysis.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab531
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Prediction of disease-associated nsSNPs by integrating multi-scale ResNet models with deep feature fusion.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab530
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OPUS-Rota4: a gradient-based protein side-chain modeling framework assisted by deep learning-based predictors.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab529
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AMDBNorm: an approach based on distribution adjustment to eliminate batch effects of gene expression data.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab528
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Molecular persistent spectral image (Mol-PSI) representation for machine learning models in drug design.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab527
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deep learning method for repurposing antiviral drugs against new viruses via multi-view nonnegative matrix factorization and its application to SARS-CoV-2.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab526
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novel convolution attention model for predicting transcription factor binding sites by combination of sequence and shape.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab525
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Artificial intelligence in clinical research of cancers.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab523
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integrated brain-specific network identifies genes associated with neuropathologic and clinical traits of Alzheimer's disease.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab522
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DeepDISOBind: accurate prediction of RNA-, DNA- and protein-binding intrinsically disordered residues with deep multi-task learning.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab521
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novel fast multiple nucleotide sequence alignment method based on FM-index.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab519
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Heavy chain sequence-based classifier for the specificity of human antibodies.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab516
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HINGRL: predicting drug–disease associations with graph representation learning on heterogeneous information networks.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab515
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META-DDIE: predicting drug–drug interaction events with few-shot learning.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab514
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LR-GNN: a graph neural network based on link representation for predicting molecular associations.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab513
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CSM-carbohydrate: protein-carbohydrate binding affinity prediction and docking scoring function.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab512
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Predicting drug–drug interactions by graph convolutional network with multi-kernel.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab511
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PhosPiR: an automated phosphoproteomic pipeline in R.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab510
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HiC1Dmetrics: framework to extract various one-dimensional features from chromosome structure data.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab509
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scIAE: an integrative autoencoder-based ensemble classification framework for single-cell RNA-seq data.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab508
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Computationally prioritized drugs inhibit SARS-CoV-2 infection and syncytia formation.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab507
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FusionDTA: attention-based feature polymerizer and knowledge distillation for drug-target binding affinity prediction.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab506
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iCRISEE: an integrative analysis of CRISPR screen by reducing false positive hits.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab505
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Tumor immune microenvironment lncRNAs.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab504
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ResNet18DNN: prediction approach of drug-induced liver injury by deep neural network with ResNet18.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab503
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Accurate protein function prediction via graph attention networks with predicted structure information.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab502
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deep learning model to identify gene expression level using cobinding transcription factor signals.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab501
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Dual-Network Collaborative Matrix Factorization for predicting small molecule-miRNA associations.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab500
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Accelerating bioactive peptide discovery via mutual information-based meta-learning.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab499
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FedSPL: federated self-paced learning for privacy-preserving disease diagnosis.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab498
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eSCAN: scan regulatory regions for aggregate association testing using whole-genome sequencing data.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab497
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Immuno-informatics analysis predicts B and T cell consensus epitopes for designing peptide vaccine against SARS-CoV-2 with 99.82% global population coverage.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab496
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Addressing noise in co-expression network construction.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab495
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KGANCDA: predicting circRNA-disease associations based on knowledge graph attention network.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab494
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tale of solving two computational challenges in protein science: neoantigen prediction and protein structure prediction.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab493
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DeepCap-Kcr: accurate identification and investigation of protein lysine crotonylation sites based on capsule network.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab492
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BioNet: a large-scale and heterogeneous biological network model for interaction prediction with graph convolution.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab491
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