AIMC Journal:
bioRxiv
Showing 1431 to 1440 of 4956 articles
A Unified Form of Batch Harmonization Equation for Normative Modeling: A Location Scale Framework
bioRxiv
May 20, 2026
Normative modeling quantifies individual deviation from population norms by estimating the conditional mean and variance of brain-derived measures as functions of clinically relevant parameters such as age. The rapid growth of multi-center consortia ...
Widespread use of invalid statistical tests in biomedical machine learning
bioRxiv
May 20, 2026
Machine learning is accelerating biomedical research. Cross-validation is widely used to compare predictive performance -- not only to benchmark algorithms, but also to inform scientific applications, such as ranking biomarkers. However, prediction p...
Mapping Tumor-Microenvironment dependencies with TMEformer: A spatial foundation framework enabling in silico perturbation
bioRxiv
May 20, 2026
Despite the fundamental role of spatial context in driving tumor progression, most current computational models for virtual perturbation have largely overlooked its importance. Here, we introduce TMEformer, a tumor microenvironment-aware deep learnin...
Domain-adversarial learning predicts clinically actionable drug combination synergy in leukemia patients using bulk transcriptomics data
bioRxiv
May 20, 2026
Deep learning has gained popularity in drug combination synergy prediction; however, DL models require large training datasets from cell line pharmacogenomic screens that poorly capture the heterogeneity in transcriptomic features and phenotypic resp...
GeoEPred: A Multimodal Structure-Aware Geometric Deep Learning Framework for Gram-Negative Bacterial Secreted Effector Prediction with Sequence Semantics
bioRxiv
May 20, 2026
Accurate prediction of effector proteins secreted by Gram-negative bacteria is important for elucidating bacterial pathogenic mechanisms and developing precise anti-infective strategies. Although existing methods have benefited from the strong sequen...
Counterfactual Explanations for Graph Neural Networks in Patient Outcome Prediction
bioRxiv
May 20, 2026
Counterfactual Explanation (CE) algorithms have been successfully applied to uncover the main factors driving computational diagnostic and prognostic predictions on tabular medical data.Recently, a new Network Medicine paradigm has been introduced fo...
Prediction of Transcription Factor DNA Binding Affinity with High-Throughput Kd Measurements and Deep Learning
bioRxiv
May 20, 2026
Transcription factors (TFs) regulate gene expression through specific interactions with genomic DNA. While TF binding motifs from public databases describe sequence preferences, quantifying genome-wide affinity (Kd) is highly desirable for a more acc...
From 3D Time-of-Flight Angiography to Accelerated 4D Arterial Spin Labeling Angiography: A Fast Few-Shot Transfer Learning Approach
bioRxiv
May 20, 2026
Purpose: To develop a data-efficient deep learning framework for rapid reconstruction of highly accelerated 4D arterial spin labeling (ASL) magnetic resonance angiography (MRA) with robust generalization using extremely limited acquired data, address...
Decoding heterogeneous aging clocks and disease risk stratification using a metabolomic foundation model
bioRxiv
May 20, 2026
Metabolomic aging clocks estimate biological age by modeling metabolite concentrations, thereby capturing aging signals from healthspan and adverse outcomes. However, existing clocks generally assume homogeneous aging trajectories and yield only a si...
CharacTERT: A machine learning tool for classifying hTERT missense variants
bioRxiv
May 20, 2026
Missense mutations in TERT, the gene encoding the human telomerase catalytic subunit hTERT, are associated with Telomere Biology Disorders (TBDs). Experimentally elucidating the effects of all possible missense variants would be time-consuming and te...
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