A new cross-modal deep learning model, scBIT, pairs single-cell gene expression with fMRI to improve Alzheimer's diagnostic accuracy, though the reported gains may be inflated by target-label leakage.
Genetic sequencing provides detailed information about an individual's genome at a microscopic level, including specific genetic variations and genetic risk -related data [2, 3]
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
q-bio.QM 1years
2025 1verdicts
REJECT 1roles
background 1polarities
support 1representative citing papers
citing papers explorer
-
scBIT: Integrating Single-cell Transcriptomic Data into fMRI-based Prediction for Alzheimer's Disease Diagnosis
A new cross-modal deep learning model, scBIT, pairs single-cell gene expression with fMRI to improve Alzheimer's diagnostic accuracy, though the reported gains may be inflated by target-label leakage.