|
0
|
|
Language model-guided anticipation and discovery of mammalian metabolites.
(nature.com)
|
Qiang H
…
Skinnider MA
Nature
2026-03-01
|
#metabolomics
#metabolism
#machine learning
#mass spectrometry
#metabolite
|
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0
|
|
Addressing biases and limitations in feature attribution for circRNA modification profiling.
(academic.oup.com)
|
Oka S
…
Takefuji Y
Briefings in Bioinformatics
2026-03-01
|
#rna modification
#feature attribution
#machine learning
#sequencing
#ncrna
|
|
0
|
|
Prediction of minimum inhibitory concentration of antibacterial peptides using geometric graph networks and dynamic loss functions.
(academic.oup.com)
|
Bin Y
…
Zheng C
Briefings in Bioinformatics
2026-03-01
|
#prediction
#machine learning
#amr
#peptide
|
|
0
|
|
Influ-BERT: a domain-adaptive genomic language model for advancing influenza A virus research.
(academic.oup.com)
|
Ye R
…
Song S
Briefings in Bioinformatics
2026-03-01
|
#genomics
#machine learning
#classification
#sequencing
#surveillance
|
|
0
|
|
ORANGE: a machine learning approach for modeling tissue-specific aging from transcriptomic data.
(academic.oup.com)
|
Jalal W
…
Rahman MS
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#modeling
#aging
#machine learning
#mortality
|
|
0
|
|
AI-driven computational methods and benchmarking for T-cell antigen identification.
(academic.oup.com)
|
Deng Y
…
Sun H
Briefings in Bioinformatics
2026-03-01
|
#immunology
#antigen
#machine learning
#binding prediction
#vaccination
|
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0
|
|
AICellType: a large language model-based platform for accurate cell type annotation.
(academic.oup.com)
|
Cheng C
…
Jin M
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#clustering
#machine learning
#annotation
|
|
0
|
|
Toward next-generation machine learning and deep learning for spatial omics.
(academic.oup.com)
|
Zirem Y
…
Salzet M
Briefings in Bioinformatics
2026-03-01
|
#deep learning
#machine learning
#segmentation
#multi-omics
#spatial omics
|
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0
|
|
Benchmarking large language models for pathogen-disease classification in post-acute infection syndromes.
(academic.oup.com)
|
Mohammed Khalid S
…
Keller A
Briefings in Bioinformatics
2026-03-01
|
#classification
#infection
#text mining
#machine learning
#literature
|
|
0
|
|
ML-ExonCNV: a robust XGBoost multi-expert ensemble framework for rare exon CNV detection in whole-exome sequencing data.
(academic.oup.com)
|
Yang SH
…
Gu W
Briefings in Bioinformatics
2026-03-01
|
#cnv
#sequencing
#machine learning
#pathogenesis
#exome
|
|
0
|
|
Spatial multi-omics integration by cross-modal graph contrastive learning.
(academic.oup.com)
|
Gui Y
…
Li C
Briefings in Bioinformatics
2026-03-01
|
#multi-omics
#integration
#machine learning
#tissue architecture
#spatial omics
|
|
0
|
|
Integrated machine learning and molecular dynamics framework for predicting and elucidating ABCB1 allocrite interactions.
(academic.oup.com)
|
Su J
…
Ouyang D
Briefings in Bioinformatics
2026-03-01
|
#machine learning
#protein-binding
#drug discovery
#simulation
#amr
|
|
0
|
|
TensoGraph: a tensor-transformer framework for global-local drug synergy prediction on heterogeneous graphs.
(academic.oup.com)
|
Wang X
…
Li L
Briefings in Bioinformatics
2026-03-01
|
#drug synergy
#combination therapy
#modeling
#machine learning
#drug discovery
|
|
0
|
|
GEiPRS: a fast and powerful machine learning method for polygenic risk score prediction by leveraging genotype-environment interactions.
(academic.oup.com)
|
Huang L
…
Shen J
Briefings in Bioinformatics
2026-03-01
|
#polygenic
#machine learning
#variant selection
#prediction
#genome-wide association
|
|
0
|
|
GWKBR: a novel method integrating machine learning and Bayesian inference framework to improve genomic prediction accuracy.
(academic.oup.com)
|
Wang X
…
Zhang Y
Briefings in Bioinformatics
2026-03-01
|
#genomic prediction
#machine learning
#bayesian inference
#kernel regression
#genome-wide association
|
|
0
|
|
NyxBind: enhancing deep neural representations for transcription factor binding site prediction via contrastive learning.
(academic.oup.com)
|
Yang X
…
Zhang Y
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#modeling
#sequencing
#machine learning
|
|
0
|
|
Letter to the editor: testing the generalizability of DeepPlantAllergy on challenging allergen prediction scenarios.
(academic.oup.com)
|
Dolu KO
Briefings in Bioinformatics
2026-03-01
|
#allergen
#machine learning
#protein prediction
#classification
|
|
0
|
|
PDTSyn: a parameter-decomposed transformer for domain-generalized cell line-aware drug synergy prediction.
(academic.oup.com)
|
Zeng B
…
Xu L
Briefings in Bioinformatics
2026-03-01
|
#drug synergy
#modeling
#machine learning
#cancer
#generalization
|
|
0
|
|
MELGene: knowledge-enhanced multimodel ensemble learning for disease-gene association prediction.
(academic.oup.com)
|
Tian H
…
Zhou X
Briefings in Bioinformatics
2026-03-01
|
#prediction
#genes
#machine learning
#knowledge graph
|
|
0
|
|
Transformer-based multidimensional feature fusion for accurate prediction of lipid nanoparticles transfection efficiency.
(academic.oup.com)
|
Gong D
…
Li H
Briefings in Bioinformatics
2026-03-01
|
#delivery
#modeling
#machine learning
#rna
|
|
0
|
|
Master of Metals2: a graph neural network based architecture for the prediction of zinc binding sites in protein structures.
(academic.oup.com)
|
Laveglia V
…
Rosato A
Briefings in Bioinformatics
2026-03-01
|
#modeling
#proteomics
#machine learning
#binding sites
|
|
0
|
|
PLM-effector: unleashing the potential of protein language models for bacterial secreted protein prediction.
(academic.oup.com)
|
Zheng D
…
Yang J
Briefings in Bioinformatics
2026-03-01
|
#virulence
#secretion
#prediction
#proteomics
#machine learning
|
|
0
|
|
Biochemical-knowledge-driven machine learning pipeline for generating potent antimicrobial peptides.
(academic.oup.com)
|
Yang D
…
Gao P
Briefings in Bioinformatics
2026-03-01
|
#antimicrobial peptides
#amr
#machine learning
#drug discovery
#peptide design
|
|
0
|
|
BioMNEDR: mechanism-guided network embedding for drug repurposing.
(academic.oup.com)
|
Zeng Y
…
Liu X
Briefings in Bioinformatics
2026-03-01
|
#drug-repurposing
#network_embedding
#computational modeling
#machine learning
|
|
0
|
|
Advancing operational global aerosol forecasting with machine learning.
(nature.com)
|
Gui K
…
Zhang X
Nature
2026-03-01
|
#modeling
#forecasting
#machine learning
|
|
0
|
|
Structure-aware Multi-task Collaborative Learning: a multi-task collaborative learning framework for peptide-protein interaction prediction based on structure-aware protein language models.
(academic.oup.com)
|
He S
…
Zhang J
Briefings in Bioinformatics
2026-03-01
|
#modeling
#protein
#prediction
#machine learning
#binding
|
|
0
|
|
Integrated photonic neural network with on-chip backpropagation training.
(nature.com)
|
Ashtiani F
…
Kim K
Nature
2026-03-01
|
#neural network
#photonics
#machine learning
#optimization
|
|
0
|
|
Collective intelligence for AI-assisted chemical synthesis.
(nature.com)
|
Li H
…
Batista VS
Nature
2026-03-01
|
#synthesis
#machine learning
#chemistry
#prediction
|
|
0
|
|
Transferable enantioselectivity models from sparse data.
(nature.com)
|
Gallarati S
…
Sigman MS
Nature
2026-03-01
|
#modeling
#catalysis
#machine learning
#enantioselectivity
|
|
0
|
|
Drug screening for alpha-synuclein aggregation inhibitors via multimodal graph neural network.
(academic.oup.com)
|
Gu T
…
Jia C
Briefings in Bioinformatics
2026-03-01
|
#machine learning
#aggregation
#neurodegeneration
#docking
|
|
0
|
|
Differentiation of RNA-protein docking structures through molecular dynamics simulation and machine learning methods.
(academic.oup.com)
|
Thanh BT
…
Kameda T
Briefings in Bioinformatics
2026-03-01
|
#simulation
#modeling
#machine learning
#docking
#structure prediction
|
|
0
|
|
KANPM-DTA: improving drug-target affinity prediction with Kolmogorov-Arnold networks and pretrained models.
(academic.oup.com)
|
Rakib MDYK
…
Ren S
Briefings in Bioinformatics
2026-03-01
|
#modeling
#drug discovery
#protein
#machine learning
|
|
0
|
|
CaHoT-GRN: context-aware high-order topology learning for robust single-cell gene regulatory network inference.
(academic.oup.com)
|
Yao D
…
Liang N
Briefings in Bioinformatics
2026-03-01
|
#gene regulation
#transcriptomics
#single-cell
#machine learning
#inference
|