|
0
|
|
MutPPI+: a multimodal framework for predicting mutation effects on protein-protein interactions via mutation-path-based data augmentation.
(academic.oup.com)
|
Deng J
…
Cheng W
Briefings in Bioinformatics
2026-03-01
|
#deep learning
#mutation
#protein design
#protein-protein interaction
#structural prediction
|
|
0
|
|
ZeCardioAI: combining zebrafish, AI, and xAI for an in-depth cardiac phenotyping platform.
(academic.oup.com)
|
Arque F
…
Dyballa S
Briefings in Bioinformatics
2026-03-01
|
#imaging
#deep learning
#cardiomyopathy
#phenotyping
#explainability
|
|
0
|
|
Population-level structural variant characterization using pangenome graphs.
(nature.com)
|
Wang S
…
Ye K
Nature Genetics
2026-03-01
|
#assembly
#deep learning
#pangenome
#genotyping
#structural variation
|
|
0
|
|
Stoichiometry-preserving and stochasticity-aware identification of m6A from direct RNA sequencing.
(academic.oup.com)
|
Wang F
…
Zou M
Briefings in Bioinformatics
2026-03-01
|
#methylation
#transcriptomics
#sequencing
#deep learning
|
|
0
|
|
Confidence scoring for deep learning-predicted antibody-antigen complexes: AntiConf as a precision-driven metric.
(academic.oup.com)
|
Unsal S
…
Timucin E
Briefings in Bioinformatics
2026-03-01
|
#modeling
#antibody
#deep learning
#validation
#protein structure prediction
|
|
0
|
|
Are we ready for causal discovery in biological systems using deep learning?
(academic.oup.com)
|
Yeo HC
…
Selvarajoo K
Briefings in Bioinformatics
2026-03-01
|
#modeling
#deep learning
#causal inference
#network analysis
|
|
0
|
|
CRESCENT: a deep learning framework with multi-scale attention for detecting recurrent copy number alterations.
(academic.oup.com)
|
Feng X
…
Chen L
Briefings in Bioinformatics
2026-03-01
|
#genomics
#cancer
#deep learning
#copy_number_variation
|
|
0
|
|
Deep representation learning for temporal inference in cancer omics: a systematic literature review.
(academic.oup.com)
|
Prol-Castelo G
…
Valencia A
Briefings in Bioinformatics
2026-03-01
|
#cancer
#deep learning
#prognosis
#temporal
#omics
|
|
0
|
|
De novo functional protein sequence generation: overcoming data scarcity through regeneration and large language models.
(academic.oup.com)
|
Ren C
…
Huang J
Briefings in Bioinformatics
2026-03-01
|
#deep learning
#protein design
#generative_models
#sequence generation
|
|
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
|
#machine learning
#deep learning
#multi-omics
#segmentation
#spatial omics
|
|
0
|
|
scGPD: single-cell informed gene panel design for targeted spatial transcriptomics.
(academic.oup.com)
|
Guo Y
…
Zhao H
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#single-cell
#deep learning
#feature selection
|
|
0
|
|
Regulatory grammar in human promoters uncovered by MPRA-based deep learning.
(nature.com)
|
Barbadilla-Martinez L
…
van Steensel B
Nature
2026-03-01
|
#transcription
#deep learning
#gene regulation
#promoter
#mpra
|
|
0
|
|
DuaST: an integrated deep learning framework for spatial transcriptomics with cross-branch interaction.
(academic.oup.com)
|
Liang X
…
Luo J
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#deep learning
#integration
|
|
0
|
|
STGNET: extending panel coverage in imaging-based spatial transcriptomics using deep generative adversarial networks.
(academic.oup.com)
|
Wang T
…
Chen J
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#gene expression
#deep learning
#imputation
|
|
0
|
|
Decoding TCR recognition via geometric deep learning of immunological fingerprints.
(academic.oup.com)
|
Shang C
…
Zhou R
Briefings in Bioinformatics
2026-03-01
|
#deep learning
#immunology
#specificity
#cross-reactivity
|
|
0
|
|
Docking of millions: accelerating a million-scale virtual screening using deep learning.
(academic.oup.com)
|
Ha J
…
Shin WH
Briefings in Bioinformatics
2026-03-01
|
#screening
#deep learning
#drug discovery
#docking
|
|
0
|
|
Advances in predicting omics profiles from imaging data.
(academic.oup.com)
|
Beachum AH
…
Xu L
Briefings in Bioinformatics
2026-03-01
|
#genomics
#imaging
#transcriptomics
#prediction
#deep learning
|
|
0
|
|
Integrating and mapping single-cell transcriptomics across the entire gene expression space.
(academic.oup.com)
|
Ding S
…
Ming J
Briefings in Bioinformatics
2026-03-01
|
#transcriptomics
#deep learning
#integration
#batch effect
|
|
0
|
|
De novo design of GPCR exoframe modulators.
(nature.com)
|
Cheng S
…
Zhang Y
Nature
2026-03-01
|
#deep learning
#protein design
#drug discovery
#allosteric modulation
|
|
0
|
|
Hybrid deep learning with protein language models and dual-path architecture for predicting IDP functions.
(academic.oup.com)
|
Liang J
…
Peng Z
Briefings in Bioinformatics
2026-03-01
|
#prediction
#protein
#deep learning
#binding
#language model
|