An in-depth comparison of linear and non-linear joint embedding methods for bulk and single-cell multi-omics

Automatic patient-ventilator asynchrony detection framework using objective asynchrony definitions

Predicting cell population-specific gene expression from genomic sequence

Personalized anomaly detection in PPG data using representation learning and biometric identification

Towards Modular Compilation Using Higher-Order Effects

A comprehensive performance analysis of sequence-based within-sample testing NIPT methods

Consequences and opportunities arising due to sparser single-cell RNA-seq datasets

Identifying Aging and Alzheimer Disease–Associated Somatic Variations in Excitatory Neurons From the Human Frontal Cortex

Technical Report: A Comprehensive Comparison between Different Quantification Versions of Nightingale Health’s 1H-NMR Metabolomics Platform

Reading Sites, Building Stories

Determining epitope specificity of T-cell receptors with transformers

The correlation between neuropathology levels and cognitive performance in centenarians

Causal inference using observational intensive care unit data: a scoping review and recommendations for future practice

Data-efficient machine learning methods in the ME-TIME study: Rationale and design of a longitudinal study to detect atrial fibrillation and heart failure from wearables

Machine learning–based biomarker profile derived from 4210 serially measured proteins predicts clinical outcome of patients with heart failure

scTopoGAN: unsupervised manifold alignment of single-cell data

Repetitive Control for Lur'e-Type Systems: Application to Mechanical Ventilation

Cell type deconvolution of methylated cell-free DNA at the resolution of individual reads

Machine learning-based somatic variant calling in cell-free DNA of metastatic breast cancer patients using large NGS panels

Cell type matching across species using protein embeddings and transfer learning