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0
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AICO: Feature significance tests for supervised learning.
(pnas.org)
|
Giesecke K
…
Jirachotkulthorn C
PNAS
2026-09-23
|
#machine learning
#interpretability
#statistical testing
#feature selection
|
|
0
|
|
CrossMol: Cross-Modal Mask-Predict Pre-training For 3D Molecular Data.
(academic.oup.com)
|
Zheng K
…
Zhang M
Bioinformatics
2026-09-23
|
#molecular
#pre-training
#multimodal
#machine learning
|
|
0
|
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VDJdb in 2026: boosting T-cell receptor recognition evidence using paratope embeddings and AI-based structure prediction.
(academic.oup.com)
|
Luppov DV
…
Shugay M
Nucleic Acids Research
2026-09-23
|
#immunology
#tcr
#machine learning
#epitope
#structure prediction
|
|
0
|
|
Machine learning of honey bee olfactory behavior identifies repellent odorants in free-flying bees in the field.
(elifesciences.org)
|
Kowalewski J
…
Ray A
eLife
2026-09-23
|
#machine learning
#olfaction
#behavior
#repellents
#pollination
|
|
0
|
|
AI-based characterization of Alzheimer's disease phenotypes from population-scale single-cell data.
(nature.com)
|
He C
…
Wang D
Nature Medicine
2026-09-23
|
#transcriptomics
#single-cell
#neurodegeneration
#machine learning
#neuroinflammation
|