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0
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OmicsTransformer: Self-Supervised Masked Consistency and Uncertainty-Aware Fusion for Robust Multi-Omics Prediction.
(academic.oup.com)
|
Feng J
…
Li X
Bioinformatics
2026-06-29
|
#multi-omics
#cancer
#machine learning
#prognosis
#biomarker
|
|
0
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MeLSI: Metric Learning for Statistical Inference in microbiome community composition analysis.
(journals.asm.org)
|
Bresette N
…
Lin A-L
mSystems
2026-06-29
|
#microbiome
#metagenomics
#machine learning
#beta-diversity
#statistical inference
|
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0
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BetaDescribe: Providing rich descriptions from protein sequences.
(pnas.org)
|
Dotan E
…
Belinkov Y
PNAS
2026-06-29
|
#protein function
#proteomics
#machine learning
#sequence analysis
#bioinformatics
|
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0
|
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Identification of chemical features for improved outer membrane permeation in mycobacteria using machine learning.
(nature.com)
|
Lepori I
…
Siegrist MS
Nature Microbiology
2026-06-30
|
#tb
#antibiotic
#drug-permeability
#machine learning
#cheminformatics
|
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0
|
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ATTNSOM: learning cross-isoform attention for cytochrome P450 site-of-metabolism prediction.
(academic.oup.com)
|
Kim H
…
Kang J
Bioinformatics
2026-07-01
|
#metabolism
#drug discovery
#machine learning
#prediction
|
|
0
|
|
EPIC: Event Prototyping via Information Constrained graph learning for personalized cancer driver gene prediction.
(academic.oup.com)
|
Cho SP
…
Cho YR
Bioinformatics
2026-07-01
|
#cancer
#driver mutations
#machine learning
#precision-oncology
#genomics
|
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0
|
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SIVA: diagonal integration of spatial multi-omics data via spatially informed variational autoencoders and anchor guidance.
(academic.oup.com)
|
Jiang P
…
Tian T
Bioinformatics
2026-07-01
|
#spatial omics
#integration
#machine learning
#multimodal
#transcriptomics
|
|
0
|
|
How not to be seen: predicting unseen enzyme functions using contrastive learning.
(academic.oup.com)
|
Ma X
…
Li Q
Bioinformatics
2026-07-01
|
#enzyme
#protein function
#machine learning
#sequence prediction
#annotation
|
|
0
|
|
DNA-aware evaluation and debiasing of sequence-to-function models.
(academic.oup.com)
|
Cakmakci D
…
Li Y
Bioinformatics
2026-07-01
|
#machine learning
#sequencing
#epigenomics
#transcriptomics
#regulatory-genomics
|
|
0
|
|
seq2ribo: structure-aware integration of machine learning and simulation to predict ribosome location profiles from RNA sequences.
(academic.oup.com)
|
Kaynar G
…
Kingsford C
Bioinformatics
2026-07-01
|
#translation
#ribosome profiling
#machine learning
#rna structure
#simulation
|
|
0
|
|
Fairness-aware supervised hierarchical contrastive semantic learning for sexual dimorphism analysis.
(academic.oup.com)
|
Ko E
…
Kang M
Bioinformatics
2026-07-01
|
#transcriptomics
#sexual dimorphism
#precision medicine
#machine learning
#cancer
|
|
0
|
|
CROP: a feature-independent context-aware method for CRISPR-Cas9 frameshift prediction.
(academic.oup.com)
|
Tziony I
…
Orenstein Y
Bioinformatics
2026-07-01
|
#crispr
#genome editing
#machine learning
#prediction
|
|
0
|
|
Foundation model enables interpretable open and error-tolerant searching for mass spectrometry-based proteomics.
(academic.oup.com)
|
Altenburg T
…
Renard BY
Bioinformatics
2026-07-01
|
#proteomics
#mass spectrometry
#peptide-identification
#ptm
#machine learning
|
|
0
|
|
PertAdapt: unlocking single-cell foundation models for genetic perturbation prediction via condition-sensitive adaptation.
(academic.oup.com)
|
Bai D
…
Xing EP
Bioinformatics
2026-07-01
|
#transcriptomics
#perturbation
#single-cell
#knockouts
#machine learning
|
|
0
|
|
Improving hit discovery by integrating activity cliff sensitivity into active learning.
(academic.oup.com)
|
Kim J
…
Kim S
Bioinformatics
2026-07-01
|
#active learning
#drug discovery
#structure-activity
#machine learning
|
|
0
|
|
Deciphering key factors of active learning performance in biomolecular design.
(academic.oup.com)
|
Zhi Y
…
Wang X
Bioinformatics
2026-07-01
|
#machine learning
#active learning
#protein design
#optimization
#genetic engineering
|
|
0
|
|
Agentomics: an agentic system that autonomously develops novel state-of-the-art solutions for biomedical machine learning tasks.
(academic.oup.com)
|
Martinek V
…
Alexiou P
Bioinformatics
2026-07-01
|
#machine learning
#automation
#drug discovery
#genomics
#protein design
|
|
0
|
|
PUFFIN: protein unit discovery with functional supervision.
(academic.oup.com)
|
Uludogan G
…
Ozgur A
Bioinformatics
2026-07-01
|
#structure-function
#proteomics
#machine learning
#protein-domains
|
|
0
|
|
NPBIP: predicting binding preferences of uncharacterized nucleic-acid-binding proteins.
(academic.oup.com)
|
Shimshoviz N
…
Orenstein Y
Bioinformatics
2026-07-01
|
#protein-binding
#machine learning
#prediction
#rna
#dna
|
|
0
|
|
MOCDT: multi-cancer detection and tissue-of-origin classification via cfDNA multi-modal integration.
(academic.oup.com)
|
Kim G
…
Choi JH
Bioinformatics
2026-07-01
|
#circulating tumor dna
#cancer-detection
#multi-omics
#machine learning
#liquid biopsy
|