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0
|
|
Predicting prolonged dalbavancin exposure using machine learning: a validated strategy for individualized redosing.
(journals.asm.org)
|
Sayadi H
…
Woillard J-B
Antimicrobial Agents and Chemotherapy
2026-01-07
|
#pharmacokinetics
#modeling
#infection
#amr
#machine learning
|
|
0
|
|
Unveiling patterns: an exploration of machine learning techniques for unsupervised feature selection in single-cell data.
(academic.oup.com)
|
Chatterjee N
…
Alimadadi A
Briefings in Bioinformatics
2026-01-07
|
#transcriptomics
#machine learning
#clustering
#dimensionality reduction
|
|
0
|
|
Data-driven discovery of digital twins in biomedical research.
(academic.oup.com)
|
Metayer C
…
Martinelli J
Briefings in Bioinformatics
2026-01-07
|
#modeling
#machine learning
#systems biology
#drug discovery
#regression
|
|
0
|
|
Exploring potential transcription factors and their regulatory relationships based on asymmetric covariance natural vector encoding method and machine learning algorithms.
(academic.oup.com)
|
Hu G
…
Yau SS
Briefings in Bioinformatics
2026-01-07
|
#transcriptomics
#prediction
#machine learning
#gene regulation
|
|
0
|
|
CNAttention: an attention-based deep multiple-instance method for uncovering copy number aberration signatures across cancers.
(academic.oup.com)
|
Yang Z
…
Baudis M
Briefings in Bioinformatics
2026-01-07
|
#modeling
#cancer
#machine learning
#classification
#copy_number_variation
|
|
0
|
|
TriDTI: tri-modal representation learning with cross-modal alignment for drug-target interaction prediction.
(academic.oup.com)
|
Yun GH
…
Cho YR
Briefings in Bioinformatics
2026-01-07
|
#machine learning
#drug discovery
#representation learning
#drug-target interaction
|
|
0
|
|
Machine learning for enzyme catalytic activity: current progress and future horizons.
(academic.oup.com)
|
Qiu S
…
Yang A
Briefings in Bioinformatics
2026-01-07
|
#machine learning
#biocatalysis
#enzyme
#catalysis
#metabolic modeling
|
|
0
|
|
Integrating multi-structure covalent docking with machine-learning consensus scoring enhances potency ranking of human acetylcholinesterase inhibitors.
(academic.oup.com)
|
Jaladanki CK
…
Fan H
Briefings in Bioinformatics
2026-01-07
|
#modeling
#machine learning
#inhibitor
#docking
|
|
0
|
|
Towards accurate artificial intelligence models for strain-level phage-host prediction.
(academic.oup.com)
|
Malajczuk CJ
…
Karpievitch YV
Briefings in Bioinformatics
2026-01-07
|
#genomics
#machine learning
#deep learning
#phage
#phage-host
|
|
0
|
|
Artificial intelligence in mitotic checkpoint modeling: transforming our understanding of cellular division through machine learning and predictive biology.
(academic.oup.com)
|
Ibrahim B
Briefings in Bioinformatics
2026-01-07
|
#modeling
#cancer
#machine learning
#cell-division
|
|
0
|
|
Revealing shared molecular markers and mechanisms in colorectal cancer and COVID-19 through bioinformatics and machine learning.
(academic.oup.com)
|
Wang H
…
Zhao L
Briefings in Bioinformatics
2026-01-07
|
#infection
#immunity
#transcriptomics
#cancer
#machine learning
|
|
0
|
|
Multi-platform integration of brain and CSF proteomes reveals biomarker panels for Alzheimer's disease.
(academic.oup.com)
|
Tsai WY
…
Frishman D
Briefings in Bioinformatics
2026-01-07
|
#proteomics
#neurodegeneration
#machine learning
#integration
#biomarker
|
|
0
|
|
ChemEmbed: a deep learning framework for metabolite identification using enhanced MS/MS data and multidimensional molecular embeddings.
(academic.oup.com)
|
Faizan-Khan M
…
Yanes O
Briefings in Bioinformatics
2026-01-07
|
#metabolomics
#mass spectrometry
#machine learning
#deep learning
#annotation
|
|
0
|
|
SGAC: a graph neural network framework for imbalanced and structure-aware AMP classification.
(academic.oup.com)
|
Wang Y
…
Segal E
Briefings in Bioinformatics
2026-01-07
|
#metagenomics
#machine learning
#antimicrobial peptides
#classification
#structure prediction
|
|
0
|
|
Artificial intelligence-powered prediction of diabetic complications: from clinical data to molecular omics.
(academic.oup.com)
|
Xie X
…
Lin H
Briefings in Bioinformatics
2026-01-07
|
#diabetes
#prediction
#machine learning
#deep learning
#omics
|
|
0
|
|
Personalized gene expression prediction in the era of deep learning: a review.
(academic.oup.com)
|
Dubey V
…
Shen L
Briefings in Bioinformatics
2026-01-07
|
#genomics
#modeling
#transcriptomics
#machine learning
|
|
0
|
|
GRAFT: a graph-aware fusion transformer for cancer driver gene prediction.
(academic.oup.com)
|
Cho SP
…
Cho YR
Briefings in Bioinformatics
2026-01-07
|
#modeling
#cancer
#machine learning
#network
|
|
0
|
|
Computational approaches to multimodal data integration in rheumatoid arthritis: from data landscape to clinical translation.
(academic.oup.com)
|
Xu D
…
Wen C
Briefings in Bioinformatics
2026-01-07
|
#proteomics
#transcriptomics
#machine learning
#integration
#rheumatoid arthritis
|
|
0
|
|
Comprehensive review and assessment of machine learning approaches for host-pathogen protein-protein interaction prediction.
(academic.oup.com)
|
Noor F
…
Tahir Ul Qamar M
Briefings in Bioinformatics
2026-01-07
|
#prediction
#pathogen
#machine learning
#protein-protein interaction
#computational biology
|
|
0
|
|
Predicting enviromically adapted varieties with big data.
(link.springer.com)
|
Gogna A
…
Zhao Y
Genome Biology
2026-01-07
|
#modeling
#machine learning
#breeding
#phenotyping
#genomic prediction
|
|
0
|
|
Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis.
(academic.oup.com)
|
Partin A
…
Stevens RL
Briefings in Bioinformatics
2026-01-07
|
#modeling
#machine learning
#generalization
#benchmarking
#drug response
|
|
0
|
|
Reply to: 'testing the generalizability of DeepPlantAllergy on challenging allergen prediction scenarios'.
(academic.oup.com)
|
Dhouib W
…
Kharrat N
Briefings in Bioinformatics
2026-01-07
|
#prediction
#machine learning
#allergen
|
|
0
|
|
PGVDA: a pathway-aggregated genetic dosage framework for interpretable disease classification using machine learning.
(academic.oup.com)
|
Shon S
…
Lee H
Briefings in Bioinformatics
2026-01-07
|
#machine learning
#genetics
#classification
#neuropathy
#pathway analysis
|
|
0
|
|
A systematic review of molecular representation learning foundation models.
(academic.oup.com)
|
Song B
…
Liu Y
Briefings in Bioinformatics
2026-01-07
|
#machine learning
#drug discovery
#language model
#molecular representation
|
|
0
|
|
EpiXFormer: a cross-attention neural network for predicting cell type-specific transcription factor binding sites.
(academic.oup.com)
|
Peng Y
…
Zhao X
Briefings in Bioinformatics
2026-01-07
|
#modeling
#transcriptomics
#epigenomics
#machine learning
|
|
0
|
|
Harnessing AI to fuse phenotypic signatures for drug target identification: progress in computational modeling.
(academic.oup.com)
|
Chen F
…
Tang Z
Briefings in Bioinformatics
2026-01-07
|
#modeling
#transcriptomics
#machine learning
#drug discovery
#target prediction
|