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Data-efficient machine learning methods in the ME-TIME study
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
A comprehensive performance analysis of sequence-based within-sample testing NIPT methods
A comprehensive performance analysis of sequence-based within-sample testing NIPT methods
Consequences and opportunities arising due to sparser single-cell RNA-seq datasets
Consequences and opportunities arising due to sparser single-cell RNA-seq datasets
Determining epitope specificity of T-cell receptors with transformers
Determining epitope specificity of T-cell receptors with transformers
Causal inference using observational intensive care unit data
Causal inference using observational intensive care unit data: a scoping review and recommendations for future practice
Percolate
Percolate: An Exponential Family JIVE Model to Design DNA-Based Predictors of Drug Response
Towards Modular Compilation Using Higher-Order Effects
Towards Modular Compilation Using Higher-Order Effects
The correlation between neuropathology levels and cognitive performance in centenarians
The correlation between neuropathology levels and cognitive performance in centenarians
New insights into the genetic etiology of Alzheimer’s disease and related dementias
New insights into the genetic etiology of Alzheimer’s disease and related dementias
Integration of metabolomics with genomics
Integration of metabolomics with genomics: Metabolic gene prioritization using metabolomics data and genomic variant (CADD) scores
Development and validation of an early warning model for hospitalized COVID-19 patients
Development and validation of an early warning model for hospitalized COVID-19 patients: a multi-center retrospective cohort study
Dynamic Digital Twin
Dynamic Digital Twin: Diagnosis, Treatment, Prediction, and Prevention of Disease During the Life Course
Single-cell immune profiling reveals thymus-seeding populations, T cell commitment, and multilineage development in the human thymus
Single-cell immune profiling reveals thymus-seeding populations, T cell commitment, and multilineage development in the human thymus
MiMIR
MiMIR: R-shiny application to infer risk factors and endpoints from Nightingale Health's 1H-NMR metabolomics data
Metabolomic predictors of phenotypic traits can replace and complement measured clinical variables in population-scale expression profiling studies
Metabolomic predictors of phenotypic traits can replace and complement measured clinical variables in population-scale expression profiling studies
Machine Learning for Cardiovascular Outcomes from Wearable Data
Machine Learning for Cardiovascular Outcomes from Wearable Data: Systematic Review from a Technology Readiness Level Point of View
PLIS
PLIS: A metabolomic response monitor to a lifestyle intervention study in older adults
scMoC: single-cell multi-omics clustering
scMoC: single-cell multi-omics clustering
1H-NMR metabolomics-based surrogates to impute common clinical risk factors and endpoints
1H-NMR metabolomics-based surrogates to impute common clinical risk factors and endpoints
WisecondorFF
WisecondorFF: Improved Fetal Aneuploidy Detection from Shallow WGS through Fragment Length Analysis
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