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0
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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
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Predicting protein-carbohydrate binding sites: a deep learning approach integrating protein language model embeddings and structural features.
(academic.oup.com)
|
Muhaiminul Islam Nafi M
…
Saifur Rahman M
Briefings in Bioinformatics
2026-01-07
|
#modeling
#proteomics
#prediction
#binding
|
|
0
|
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From biogenesis to deep modeling: a holistic review of miRNA-disease prediction computational methods with experimental comparison.
(academic.oup.com)
|
Xie S
…
Law KLE
Briefings in Bioinformatics
2026-01-07
|
#modeling
#prediction
#pathogenesis
#biomarker
#microrna
|
|
0
|
|
Task-specific pre-training for molecular property prediction.
(academic.oup.com)
|
Zhang W
…
Liu X
Briefings in Bioinformatics
2026-01-07
|
#prediction
#deep learning
#drug discovery
#molecular
|
|
0
|
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BiGvCL: bipartite graph-based cross-domain contrastive learning model for the predicting drug-gene interactions.
(academic.oup.com)
|
He S
…
Zhang F
Briefings in Bioinformatics
2026-01-07
|
#prediction
#precision medicine
#contrastive learning
#graph neural network
#drug-gene interaction
|
|
0
|
|
Detection of alternative splicing: deep sequencing or deep learning?
(academic.oup.com)
|
Hackl LM
…
Tsoy O
Briefings in Bioinformatics
2026-01-07
|
#transcriptomics
#splicing
#sequencing
#prediction
#deep learning
|
|
0
|
|
EPINTLM: enhancer-promoter prediction with pretrained k-mer embeddings and residual cross-attention.
(academic.oup.com)
|
Nguyen TL
…
Quoc Khanh Le N
Briefings in Bioinformatics
2026-01-07
|
#prediction
#deep learning
#gene regulation
#sequence modeling
|
|
0
|
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Benchmarking knowledge graph embedding models for the prediction of oligogenic combinations.
(academic.oup.com)
|
Bosch I
…
Lenaerts T
Briefings in Bioinformatics
2026-01-07
|
#modeling
#prediction
#genetics
#rare disease
|
|
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
|
|
PheCode-guided multi-modal topic modeling of electronic health records improves disease incidence prediction and GWAS discovery from UK Biobank.
(academic.oup.com)
|
Yang Z
…
Li Y
Briefings in Bioinformatics
2026-01-07
|
#modeling
#prediction
#phenotyping
#genome-wide association
#ehr
|
|
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
|
|
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
|
|
Cross-ancestry information transfer framework improves protein abundance prediction and protein-trait association identification.
(academic.oup.com)
|
Zhai W
…
Zhou D
Briefings in Bioinformatics
2026-01-07
|
#modeling
#proteomics
#prediction
#genetics
#association
|
|
0
|
|
MHAFR-DDI: a multimodal hierarchical attention fusion and relation-aware architecture for drug-drug interaction event prediction.
(academic.oup.com)
|
Li M
…
Wang Y
Briefings in Bioinformatics
2026-01-07
|
#prediction
#deep learning
#pharmacology
#drug-drug interaction
#molecular modeling
|
|
0
|
|
Decoding RNA triple helices: identification from sequence and secondary structure.
(academic.oup.com)
|
Matarrese MAG
…
Tesei L
Briefings in Bioinformatics
2026-01-07
|
#prediction
#rna
#regulation
#ncrna
|