|
0
|
|
CONTRA-IL6: an interpretable hybrid convolutional neural network and Transformer framework for accurate prediction of interleukin-6-inducing peptides using protein language models.
(academic.oup.com)
|
Tran DT
…
Manavalan B
Briefings in Bioinformatics
2026-05-04
|
#prediction
#deep learning
#immunogenicity
#cytokine
#peptide
|
|
0
|
|
CryoFSL: an annotation-efficient, few-shot learning framework for robust protein particle picking in cryo-electron microscopy micrographs.
(academic.oup.com)
|
Poudel B
…
Xu D
Briefings in Bioinformatics
2026-05-04
|
#cryo-em
#deep learning
#few-shot learning
#particle picking
#structure determination
|
|
0
|
|
Artificial Intelligence in genomics: a comprehensive survey of methods, resources, challenges, and prospects.
(academic.oup.com)
|
Ishtyaq Mahmud M
…
Banerjee T
Briefings in Bioinformatics
2026-05-04
|
#gene expression
#machine learning
#deep learning
#precision medicine
#variant detection
|
|
0
|
|
Comprehensive review and assessment of multi-species splicing variant prediction: task-specific deep learning models and genomic foundation models.
(academic.oup.com)
|
Sun Y
…
Song J
Briefings in Bioinformatics
2026-05-04
|
#splicing
#deep learning
#benchmarking
#variant prediction
#transferability
|
|
0
|
|
Quantum computing applications in drug discovery.
(academic.oup.com)
|
Li J
…
Zou Q
Briefings in Bioinformatics
2026-05-04
|
#deep learning
#drug discovery
#simulation
#molecular docking
#quantum computing
|
|
0
|
|
GraphChIAr: genome-wide super-resolution reconstruction of protein-mediated remote chromatin interactions by augmenting hi-C interaction maps with multiple ChIP-seq profiles.
(academic.oup.com)
|
Dong H
…
Du PF
Briefings in Bioinformatics
2026-05-04
|
#modeling
#chromatin
#sequencing
#deep learning
#gene regulation
|
|
0
|
|
MT-ConBiFormer-GPT: multi-target molecular generation for low-data drug discovery via a contrastive BiFormer-GPT architecture and curriculum learning with cross-domain generalization.
(academic.oup.com)
|
Norouzi R
…
Gharaghani S
Briefings in Bioinformatics
2026-05-04
|
#cancer
#deep learning
#drug discovery
#molecular_generation
#polypharmacology
|
|
0
|
|
CLCNet: a contrastive learning and chromosome-aware network for genomic prediction in plants.
(academic.oup.com)
|
Huang J
…
Jiang Y
Briefings in Bioinformatics
2026-05-04
|
#deep learning
#snp
#breeding
#contrastive learning
#genomic prediction
|
|
0
|
|
USADAE: a deep learning approach to disentangle hidden covariates in RNA-seq data.
(academic.oup.com)
|
Chen X
…
Liu X
Briefings in Bioinformatics
2026-05-04
|
#transcriptomics
#deep learning
#confounding
#batch correction
#autoencoder
|
|
0
|
|
Pathogenicity prediction for noncanonical splice-altering variants based on multimodal feature fusion.
(academic.oup.com)
|
Li X
…
Xia J
Briefings in Bioinformatics
2026-05-04
|
#modeling
#splicing
#variants
#deep learning
#pathogenicity
|
|
0
|
|
scDeepAPA: a deep learning framework for single-cell alternative polyadenylation identification.
(academic.oup.com)
|
Liang J
…
Song Q
Briefings in Bioinformatics
2026-05-04
|
#transcriptomics
#single-cell
#polyadenylation
#deep learning
#isoforms
|
|
0
|
|
Transformers for single-cell RNA sequencing: a survey.
(academic.oup.com)
|
Hu T
…
Wei Z
Briefings in Bioinformatics
2026-05-04
|
#transcriptomics
#single-cell
#deep learning
#dimensionality reduction
|
|
0
|
|
Graph designs for deep learning-based multi-omics integration.
(academic.oup.com)
|
Alif MN
…
Zhang W
Briefings in Bioinformatics
2026-05-04
|
#multi-omics
#deep learning
#graph neural network
#integration
#single-cell
|
|
0
|
|
Navigating cell maps by deep learning integration of single-cell and spatially resolved transcriptomics.
(academic.oup.com)
|
Chen Y
Briefings in Bioinformatics
2026-05-04
|
#transcriptomics
#single-cell
#spatial-biology
#deep learning
#cancer
|