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0
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SurfFold: a unified model for protein inverse folding by integrating surface and structural information.
(academic.oup.com)
|
Li D
…
Liu X
Bioinformatics
2026-01-02
|
#modeling
#folding
#sequence prediction
|
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0
|
|
Building multiscale Markov state models by systematic mapping of temporal communities.
(academic.oup.com)
|
Nitskansky N
…
Raveh B
Bioinformatics
2026-01-02
|
#modeling
#dynamics
#folding
#kinetics
|
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0
|
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Reconstructing and comparing signal transduction networks from single-cell protein quantification data.
(academic.oup.com)
|
Stohn T
…
Bosdriesz E
Bioinformatics
2026-01-02
|
#modeling
#proteomics
#single-cell
#signal transduction
#network reconstruction
|
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0
|
|
Molecular-level protein semantic learning via structure-aware coarse-grained language modeling.
(academic.oup.com)
|
Zhang J
…
Zhu Z
Bioinformatics
2026-01-02
|
#modeling
#proteomics
#representation
|
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0
|
|
Joint representation learning for oncology applications.
(academic.oup.com)
|
Nandan T
…
Bruningk SC
Bioinformatics
2026-01-02
|
#modeling
#transcriptomics
#cancer
#epigenomics
#integration
|
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0
|
|
Signing protein-protein interaction networks.
(academic.oup.com)
|
Signorini LF
…
Sharan R
Bioinformatics
2026-01-02
|
#modeling
#signaling
#network
#classification
|
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0
|
|
scSurv: a deep generative model for single-cell survival analysis.
(academic.oup.com)
|
Mizukoshi C
…
Shimamura T
Bioinformatics
2026-01-02
|
#modeling
#transcriptomics
#cancer
#heterogeneity
|
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0
|
|
SpatialRNA: a Python package for easy application of Graph Neural Network models on single-molecule spatial transcriptomics dataset.
(academic.oup.com)
|
Lyu R
…
McCarthy DJ
Bioinformatics
2026-01-02
|
#modeling
#transcriptomics
#clustering
|
|
0
|
|
Mutual learning for joint disease detection and severity prediction reveals multimodal pathogenesis for neurodegenerative disorders.
(academic.oup.com)
|
Zhang J
…
Du L
Bioinformatics
2026-01-02
|
#modeling
#neurodegeneration
#machine learning
#biomarker
#multimodal
|
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0
|
|
Assessing differential cell composition in single-cell studies using voomCLR.
(academic.oup.com)
|
Takele Assefa A
…
Van den Berge K
Bioinformatics
2026-01-02
|
#modeling
#transcriptomics
#clustering
#compositionality
|
|
0
|
|
Efficient algorithms for simulating sequences along a phylogenetic tree.
(academic.oup.com)
|
Wygoda E
…
Pupko T
Bioinformatics
2026-01-02
|
#modeling
#phylogenomics
#evolution
#simulation
|
|
0
|
|
The membrane transition strongly enhances biopolymer condensation through prewetting.
(nature.com)
|
Bagheri Y
…
Veatch SL
Nature Chemical Biology
2026-01-02
|
#modeling
#protein assembly
#phase separation
#membrane
#lipid
|
|
0
|
|
PLXFPred: interpretable cross-attention networks with hierarchical fusion of multi-modal features for predicting protein-ligand interactions and affinities.
(academic.oup.com)
|
Li J
…
Hu Y
Bioinformatics
2026-01-02
|
#modeling
#prediction
#deep learning
#binding
|
|
0
|
|
OTMODE: an optimal transport theory-based framework for identifying differential features in single-cell multi-omics data.
(academic.oup.com)
|
Su H
…
Yang W
Bioinformatics
2026-01-02
|
#modeling
#proteomics
#transcriptomics
#clustering
|
|
0
|
|
dGAMLSS: an exact, distributed algorithm to fit Generalized Additive Models for Location, Scale, and Shape for privacy-preserving population reference charts.
(academic.oup.com)
|
Hu F
…
Shinohara RT
Bioinformatics
2026-01-02
|
#modeling
#privacy
#federated learning
#reference ranges
|
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0
|
|
Pv3Rs: Plasmodium vivax relapse, recrudescence, and reinfection statistical genetic inference.
(academic.oup.com)
|
Foo YS
…
Taylor AR
Bioinformatics
2026-01-02
|
#modeling
#infection
#genetics
#parasite
|