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0
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Universal differential equations for quantifying NF-kappaB-p53 signaling crosstalk.
(academic.oup.com)
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Kaya UC
…
Baum K
Bioinformatics
2026-08-01
|
#signaling
#systems biology
#single-cell
#machine learning
#modeling
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0
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Stoic: fast and accurate protein stoichiometry prediction.
(academic.oup.com)
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Litvinov D
…
Durairaj J
Bioinformatics
2026-08-01
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#protein-protein interaction
#structure prediction
#machine learning
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0
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GiantHost: a domain-adaptive and uncertainty-aware framework for giant virus host prediction.
(academic.oup.com)
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Qu F
…
Sun Y
Bioinformatics
2026-08-01
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#metagenomics
#virology
#machine learning
#host-prediction
#domain adaptation
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0
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A linear interpretable model for drug target prediction.
(academic.oup.com)
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Noto S
…
Paccanaro A
Bioinformatics
2026-08-01
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#drug target
#prediction
#interpretability
#machine learning
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0
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RIBEX: predicting and explaining RNA binding across structured and intrinsically disordered regions (IDR)-rich proteins.
(academic.oup.com)
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Firmani S
…
Horlacher M
Bioinformatics
2026-08-01
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#rna
#protein-binding
#prediction
#machine learning
#interactome
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0
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Multifeature sequencing-based liquid biopsy for cancer diagnosis and monitoring.
(link.springer.com)
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Molina MA
…
Hagey DW
Genome Medicine
2026-08-01
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#liquid biopsy
#cancer
#sequencing
#cell-free dna
#machine learning
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0
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Knowledge-guided learning with curated prior genetic biomarkers for robust model interpretation.
(academic.oup.com)
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Baek B
…
Kang M
Bioinformatics
2026-08-01
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#biomarker
#machine learning
#interpretability
#neural-networks
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0
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ARGformer: learning on ancestral recombination graphs with transformers.
(academic.oup.com)
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Bonet D
…
Ioannidis AG
Bioinformatics
2026-08-01
|
#genetics
#genomics
#machine learning
#ancestry
#recombination
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0
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ExoShorkie: predicting RNA-seq coverage of exogenous genomes in yeast by transfer learning.
(academic.oup.com)
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Mandl J
…
Orenstein Y
Bioinformatics
2026-08-01
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#transcriptomics
#prediction
#machine learning
#regulation
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0
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usiGrabber: automating the curation of proteomics spectra data at scale, making large datasets ready for use in machine learning systems.
(academic.oup.com)
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Auge G
…
Renard BY
Bioinformatics
2026-08-01
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#proteomics
#machine learning
#mass spectrometry
#curation
#phosphorylation
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0
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Tail-aware heterogeneous graph neural networks for multi-class drug-drug interaction prediction.
(academic.oup.com)
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Venkatesh V
…
S M D
Bioinformatics
2026-08-01
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#drug-drug interaction
#graph-neural-networks
#knowledge graph
#polypharmacy
#machine learning
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0
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PepGen: conditional generation of peptides for MHC binding.
(academic.oup.com)
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Korpela D
…
Lahdesmaki H
Bioinformatics
2026-08-01
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#immunology
#peptide
#machine learning
#binding
#vaccination
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0
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CLASPP: A unified model for predicting post-translational modifications.
(journals.plos.org)
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Gravel N
…
Kannan N
PLOS Computational Biology
2026-08-01
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#proteomics
#ptm
#prediction
#machine learning
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0
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ERFMTDA: Predicting tsRNA-disease associations using an enhanced rotative factorization machine.
(journals.plos.org)
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Lan W
…
Pan Y
PLOS Computational Biology
2026-08-01
|
#prediction
#machine learning
#association
#ncrna
#disease
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0
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ScanNet: Single-cell annotation informed by transcriptional regulation Network via iterative heterogeneous graph learning.
(journals.plos.org)
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Long Y
…
Wang Y
PLOS Computational Biology
2026-08-01
|
#transcriptomics
#single-cell
#annotation
#regulatory-networks
#machine learning
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0
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GUANinE v1.1 reveals complementarity of supervised and genomic language models.
(academic.oup.com)
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Robson ES
…
Ioannidis NM
Bioinformatics
2026-08-01
|
#genomics
#machine learning
#benchmark
#language-models
#variant interpretation
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0
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CellTypeAI: cell annotation for scRNA-seq using local generative-AI.
(academic.oup.com)
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Daw RH
…
Grainger JR
Bioinformatics
2026-08-01
|
#transcriptomics
#single-cell
#cell annotation
#machine learning
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0
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Twelve quick tips for applying deep learning to animal sounds.
(journals.plos.org)
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Ghani B
…
Stowell D
PLOS Computational Biology
2026-08-01
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#machine learning
#deep learning
#bioacoustics
#species-identification
#ecology
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0
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Thin fabric pressure sensors and TinyML smart gloves for edge IoT.
(linkinghub.elsevier.com)
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Nguyen TN
…
Phan VC
iScience
2026-08-01
|
#wearable
#sensors
#machine learning
#edge computing
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0
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Eleven quick tips for Biomedical Federated Learning.
(journals.plos.org)
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Ellrott K
…
Boutros PC
PLOS Computational Biology
2026-08-01
|
#federated learning
#machine learning
#privacy
#biomedical
#decentralized-data
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0
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A benchmarking study of feature screening approaches across type 1 diabetes omics studies classification settings.
(journals.plos.org)
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VonKaenel ED
…
Webb-Robertson BM
PLOS Computational Biology
2026-08-01
|
#feature selection
#omics
#screening
#machine learning
#diabetes
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0
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Informing agent-based models with spatial data using convolutional autoencoders.
(academic.oup.com)
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Wang BR
…
Eduati F
Bioinformatics
2026-08-01
|
#modeling
#oncology
#imaging
#machine learning
#immunotherapy
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0
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PreFold-dG: estimating binding affinity of protein-protein interaction from intermediate representations of protein folding model.
(academic.oup.com)
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Park S
…
Kim K
Bioinformatics
2026-08-01
|
#folding
#affinity
#structure prediction
#protein-interactions
#machine learning
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0
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The multi-omics fallacy in microbiome science.
(journals.plos.org)
|
Lewandowski R
PLOS Computational Biology
2026-08-01
|
#microbiome
#multi-omics
#machine learning
#metagenomics
#methodology
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0
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Deep-learning-enabled multi-omics analyses for prediction of future metastasis in cancer.
(nature.com)
|
Wang X
…
Ma Q
Nature Communications
2026-08-01
|
#cancer
#metastasis
#machine learning
#biomarker
#proteomics
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