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0
|
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The changing surface of the world's roads.
(nature.com)
|
Randhawa S
…
Zipf A
Nature Communications
2026-09-01
|
#infrastructure
#deep learning
#remote_sensing
|
|
0
|
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A Token-Pruning Framework Enables Efficient Representation of the Human Genome for RNA Modification Analysis.
(academic.oup.com)
|
Gao W
…
Wei L
Bioinformatics
2026-09-01
|
#transcriptomics
#rna
#deep learning
#sequence modeling
#epigenetics
|
|
0
|
|
Comprehensive evaluation of AlphaFold/OpenFold prediction of experimentally unresolved proteins through novel metrics.
(academic.oup.com)
|
Diaz FR
…
Fernandez EA
Briefings in Bioinformatics
2026-09-01
|
#protein structure
#deep learning
#benchmarking
#prediction
#variants
|
|
0
|
|
Interpretable deep neural network identifies robust biomarkers for diseases with mechanistic insights from omics data.
(academic.oup.com)
|
Hu X
…
Jiang H
Briefings in Bioinformatics
2026-09-01
|
#deep learning
#biomarker
#transcriptomics
#interpretability
#microbiome
|
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0
|
|
PMPIHGLL: predicting metabolite-protein interactions using dual hypergraph convolutional networks and large language models.
(academic.oup.com)
|
Chen L
…
Zhou B
Briefings in Bioinformatics
2026-09-01
|
#prediction
#deep learning
#metabolomics
#protein-protein interaction
#drug discovery
|
|
0
|
|
BOMIFA: biologically informed multi-omics integration with graph contrastive learning for cancer prognosis in women.
(academic.oup.com)
|
Lu Z
…
Xu S
Briefings in Bioinformatics
2026-09-01
|
#cancer
#multi-omics
#prognosis
#deep learning
#biomarker
|
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0
|
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CT-based deep learning for survival stratification in EGFR-mutant lung adenocarcinoma after EGFR-TKI resistance: A multicenter study.
(linkinghub.elsevier.com)
|
Qie S
…
Liu M
iScience
2026-09-01
|
#deep learning
#adenocarcinoma
#imaging
#prognosis
#drug resistance
|
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0
|
|
HighFold4: extending AlphaFold3 to accurate cyclic peptide conformation prediction via custom chemical connectivity.
(academic.oup.com)
|
Zhang C
…
Duan H
Briefings in Bioinformatics
2026-09-01
|
#peptide
#structure prediction
#deep learning
#drug discovery
|
|
0
|
|
Halo: a pretrained model for whole-cell segmentation from nuclei images in spatial transcriptomics.
(academic.oup.com)
|
Zhang X
…
Ji Z
Briefings in Bioinformatics
2026-09-01
|
#transcriptomics
#segmentation
#microscopy
#deep learning
|
|
0
|
|
Stepwise multi-scale reconstruction of cell spatial organization from single-cell RNA sequencing data with Cell2space.
(academic.oup.com)
|
Pan J
…
Sun D
Briefings in Bioinformatics
2026-09-01
|
#transcriptomics
#single-cell
#deep learning
#tissue architecture
|
|
0
|
|
VeloHARMO: a deep learning framework for mRNA coding sequence generation and design via translation velocity harmonization.
(academic.oup.com)
|
Bian B
…
Saito Y
Briefings in Bioinformatics
2026-09-01
|
#translation
#codon optimization
#deep learning
#heterologous expression
#synthetic biology
|
|
0
|
|
Multimodal deep learning enhances genomic risk prediction for cardiometabolic diseases.
(academic.oup.com)
|
Zhu T
…
Nevado-Holgado A
Briefings in Bioinformatics
2026-09-01
|
#cardiometabolic
#prediction
#deep learning
#genomics
#risk stratification
|
|
0
|
|
Surf2Spot: a surface-informed geometry-aware model for predicting partner-independent binder and nanobody design hotspots.
(academic.oup.com)
|
Zhao A
…
Wang X
Briefings in Bioinformatics
2026-09-01
|
#protein design
#protein-interactions
#antibody
#deep learning
#structure prediction
|
|
0
|
|
From conservation scores to language models: a feature engineering perspective on machine learning for genetic variant interpretation.
(academic.oup.com)
|
Bulloni M
…
Pattini L
Briefings in Bioinformatics
2026-09-01
|
#machine learning
#variant interpretation
#deep learning
#precision medicine
#feature-engineering
|
|
0
|
|
KAT-Net: a hyperbolic routing framework for joint lysine acylation site prediction with shared sequence-structure representations.
(academic.oup.com)
|
Wu H
…
Yang S
Briefings in Bioinformatics
2026-09-01
|
#deep learning
#post-translational-modification
#protein structure
#multi-task-learning
#proteomics
|
|
0
|
|
DeepU-PRS: nonlinear and uncertainty-aware SNP heritability modeling for annotation-informed polygenic risk scoring.
(academic.oup.com)
|
Lee J
…
Lee S
Briefings in Bioinformatics
2026-09-01
|
#heritability
#deep learning
#genome-wide association
#annotation
|