March 01, 2026

#machine learning — Sunday, March 01, 2026 (33 items)

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ℹ	Language model-guided anticipation and discovery of mammalian metabolites. (nature.com)	Qiang H … Skinnider MA Nature 2026-03-01	#metabolomics #mass spectrometry #metabolism #machine learning #metabolite
ℹ	Addressing biases and limitations in feature attribution for circRNA modification profiling. (academic.oup.com)	Oka S … Takefuji Y Briefings in Bioinformatics 2026-03-01	#sequencing #machine learning #ncrna #rna modification #feature attribution
ℹ	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	#amr #prediction #machine learning #peptide
ℹ	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 #sequencing #machine learning #surveillance #classification
ℹ	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	#modeling #transcriptomics #aging #machine learning #mortality
ℹ	AI-driven computational methods and benchmarking for T-cell antigen identification. (academic.oup.com)	Deng Y … Sun H Briefings in Bioinformatics 2026-03-01	#vaccination #machine learning #immunology #antigen #binding prediction
ℹ	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 #machine learning #clustering #annotation
ℹ	Toward next-generation machine learning and deep learning for spatial omics. (academic.oup.com)	Zirem Y … Salzet M Briefings in Bioinformatics 2026-03-01	#machine learning #deep learning #multi-omics #segmentation #spatial omics
ℹ	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	#infection #machine learning #classification #text mining #literature
ℹ	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	#sequencing #pathogenesis #machine learning #cnv #exome
ℹ	Spatial multi-omics integration by cross-modal graph contrastive learning. (academic.oup.com)	Gui Y … Li C Briefings in Bioinformatics 2026-03-01	#machine learning #multi-omics #integration #spatial omics #tissue architecture
ℹ	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	#amr #machine learning #drug discovery #simulation #protein-binding
ℹ	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	#modeling #machine learning #drug synergy #drug discovery #combination therapy
ℹ	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	#prediction #machine learning #polygenic #genome-wide association #variant selection
ℹ	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	#machine learning #genome-wide association #bayesian inference #genomic prediction #kernel regression
ℹ	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	#modeling #transcriptomics #sequencing #machine learning
ℹ	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	#machine learning #classification #protein prediction #allergen
ℹ	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	#modeling #cancer #machine learning #generalization #drug synergy
ℹ	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 #machine learning #knowledge graph #genes
ℹ	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	#modeling #rna #machine learning #delivery
ℹ	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
ℹ	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	#proteomics #virulence #prediction #machine learning #secretion
ℹ	Biochemical-knowledge-driven machine learning pipeline for generating potent antimicrobial peptides. (academic.oup.com)	Yang D … Gao P Briefings in Bioinformatics 2026-03-01	#amr #machine learning #drug discovery #antimicrobial peptides #peptide design
ℹ	BioMNEDR: mechanism-guided network embedding for drug repurposing. (academic.oup.com)	Zeng Y … Liu X Briefings in Bioinformatics 2026-03-01	#computational modeling #machine learning #drug-repurposing #network_embedding
ℹ	Advancing operational global aerosol forecasting with machine learning. (nature.com)	Gui K … Zhang X Nature 2026-03-01	#modeling #machine learning #forecasting
ℹ	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 #prediction #protein #machine learning #binding
ℹ	Integrated photonic neural network with on-chip backpropagation training. (nature.com)	Ashtiani F … Kim K Nature 2026-03-01	#machine learning #optimization #photonics #neural network
ℹ	Collective intelligence for AI-assisted chemical synthesis. (nature.com)	Li H … Batista VS Nature 2026-03-01	#prediction #machine learning #chemistry #synthesis
ℹ	Transferable enantioselectivity models from sparse data. (nature.com)	Gallarati S … Sigman MS Nature 2026-03-01	#modeling #machine learning #catalysis #enantioselectivity
ℹ	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	#aggregation #neurodegeneration #machine learning #docking
ℹ	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	#modeling #machine learning #simulation #structure prediction #docking
ℹ	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 #protein #machine learning #drug discovery
ℹ	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	#transcriptomics #single-cell #machine learning #gene regulation #inference