Works matching IS 14675463 AND DT 2023 AND VI 24 AND IP 5
Results: 69
Inferring single-cell gene regulatory network by non-redundant mutual information.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad326
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3D based generative PROTAC linker design with reinforcement learning.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad323
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Letter to the editor: testing the effectiveness of MyPROSLE in classifying patients with lupus nephritis.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad322
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Defining the single base importance of human mRNAs and lncRNAs.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad321
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Sequence Alignment/Map format: a comprehensive review of approaches and applications.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad320
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Sequence-based prediction model of protein crystallization propensity using machine learning and two-level feature selection.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad319
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InDEP: an interpretable machine learning approach to predict cancer driver genes from multi-omics data.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad318
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Sequence pre-training-based graph neural network for predicting lncRNA-miRNA associations.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad317
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DeepICSH: a complex deep learning framework for identifying cell-specific silencers and their strength from the human genome.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad316
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SnapHiC-D: a computational pipeline to identify differential chromatin contacts from single-cell Hi-C data.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad315
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Systematic investigation of the homology sequences around the human fusion gene breakpoints in pan-cancer – bioinformatics study for a potential link to MMEJ.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad314
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Multimodal deep learning approaches for single-cell multi-omics data integration.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad313
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Identifying potential small molecule–miRNA associations via Robust PCA based on γ-norm regularization.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad312
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HiFun: homology independent protein function prediction by a novel protein-language self-attention model.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad311
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MpbPPI: a multi-task pre-training-based equivariant approach for the prediction of the effect of amino acid mutations on protein–protein interactions.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad310
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Multi-omics regulatory network inference in the presence of missing data.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad309
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Predicting ion mobility collision cross sections using projection approximation with ROSIE-PARCS webserver.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad308
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A systematic benchmark of machine learning methods for protein–RNA interaction prediction.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad307
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TransFoxMol: predicting molecular property with focused attention.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad306
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HimGNN: a novel hierarchical molecular graph representation learning framework for property prediction.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad305
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A denoised multi-omics integration framework for cancer subtype classification and survival prediction.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad304
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MFPred: prediction of ncRNA families based on multi-feature fusion.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad303
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The shape of chromatin: insights from computational recognition of geometric patterns in Hi-C data.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad302
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OTTM: an automated classification tool for translational drug discovery from omics data.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad301
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PredLLPS_PSSM: a novel predictor for liquid–liquid protein separation identification based on evolutionary information and a deep neural network.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad299
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A fast and globally optimal solution for RNA-seq quantification.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad298
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Toward the functional interpretation of somatic structural variations: bulk- and single-cell approaches.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad297
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Self-supervised learning with chemistry-aware fragmentation for effective molecular property prediction.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad296
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ML-PLIC: a web platform for characterizing protein–ligand interactions and developing machine learning-based scoring functions.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad295
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Differential variability analysis of single-cell gene expression data.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad294
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NCAE: data-driven representations using a deep network-coherent DNA methylation autoencoder identify robust disease and risk factor signatures.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad293
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KGETCDA: an efficient representation learning framework based on knowledge graph encoder from transformer for predicting circRNA-disease associations.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad292
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PhenoDriver: interpretable framework for studying personalized phenotype-associated driver genes in breast cancer.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. N.PAG, doi. 10.1093/bib/bbad291
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ETLD: an encoder-transformation layer-decoder architecture for protein contact and mutation effects prediction.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad290
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Artificial intelligence-aided protein engineering: from topological data analysis to deep protein language models.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad289
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TMKit: a Python interface for computational analysis of transmembrane proteins.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad288
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HEAP: a task adaptive-based explainable deep learning framework for enhancer activity prediction.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad286
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A model-agnostic framework to enhance knowledge graph-based drug combination prediction with drug–drug interaction data and supervised contrastive learning.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad285
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Splicing defects in rare diseases: transcriptomics and machine learning strategies towards genetic diagnosis.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad284
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HiBrowser: an interactive and dynamic browser for synchronous Hi-C data visualization.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad283
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Deep multi-view contrastive learning for cancer subtype identification.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad282
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Single-cell causal network inferred by cross-mapping entropy.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad281
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COWID: an efficient cloud-based genomics workflow for scalable identification of SARS-COV-2.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad280
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Comprehensive evaluation of methods for differential expression analysis of metatranscriptomics data.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad279
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Identifying spatial domains of spatially resolved transcriptomics via multi-view graph convolutional networks.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad278
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DELFMUT: duplex sequencing-oriented depth estimation model for stable detection of low-frequency mutations.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad277
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Multi-task prediction-based graph contrastive learning for inferring the relationship among lncRNAs, miRNAs and diseases.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad276
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Exploration of whole genome amplification generated chimeric sequences in long-read sequencing data.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad275
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A workflow to study mechanistic indicators for driver gene prediction with Moonlight.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad274
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Approximate estimation of cell-type resolution transcriptome in bulk tissue through matrix completion.
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- Briefings in Bioinformatics, 2023, v. 24, n. 5, p. 1, doi. 10.1093/bib/bbad273
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