Jerzy Adamski

Metabolomic signatures support the diagnostics of peritoneal endometriosis using generalised linear models.

This study identifies metabolite ratios using generalized linear models to diagnose peritoneal endometriosis with high accuracy from plasma samples.

LEOPARD: missing view completion for multi-timepoints omics data via representation disentanglement and temporal knowledge transfer

LEOPARD completes missing views in multi-timepoint omics data by disentangling content and temporal representations, outperforming existing methods on benchmark datasets.

The Interpretable Multimodal Machine Learning (IMML) framework reveals pathological signatures of distal sensorimotor polyneuropathy

The paper develops an interpretable multimodal machine learning framework to predict distal sensorimotor polyneuropathy using clinical and molecular data, identifying key biomarkers and improving prediction accuracy with additional molecular modalities.

Interlaboratory comparison of standardised metabolomics and lipidomics analyses in human and rodent blood using the MxP(R) Quant 500 kit

This study evaluates the interlaboratory reproducibility of the MxP(R) Quant 500 metabolomics/lipidomics kit across human and rodent blood samples, showing high consistency and reliability.

Correlation guided Network Integration (CoNI) reveals novel genetic regulators of hepatic metabolism

CoNI integrates multi-omics data to identify genetic regulators of hepatic metabolism, validating several candidates in human liver cells and biopsies.

Finding New Molecular Targets of Familiar Natural Products Using In Silico Target Prediction

The paper develops an in silico workflow to predict molecular targets of natural products and identifies four new targets for dihydrochalcones.

Predicting and elucidating the etiology of fatty liver disease using a machine learning-based approach: an IMI DIRECT study

This study develops machine learning models to predict liver fat content using multi-omic and clinical data from NAFLD patients, achieving higher accuracy than existing tools.

Variation in the plasma membrane monoamine transporter (PMAT, encoded in SLC29A4) and organic cation transporter 1 (OCT1, encoded in SLC22A1) and gastrointestinal intolerance to metformin in type 2 diabetes: an IMI DIRECT study

This study investigates the association between genetic variants in PMAT and OCT1 transporters and metformin gastrointestinal intolerance in type 2 diabetes patients.

Network based conditional genome wide association analysis of human metabolomics

The paper introduces a network-based conditional GWAS method to analyze metabolomics data, identifying additional loci by improving genetic effect precision and handling pleiotropic scenarios.

Characterization of missing values in untargeted MS-based metabolomics data and evaluation of missing data handling strategies

The paper evaluates missing data handling strategies in untargeted metabolomics data, finding that KNN imputation with variable pre-selection is robust across multiple evaluation schemes.

Low-level mitochondrial heteroplasmy modulates DNA replication, glucose metabolism and lifespan in mice

This study shows that high mitochondrial heteroplasmy in mice reduces lifespan and impairs glucose metabolism.

Genetic diagnosis of Mendelian disorders via RNA sequencing

This study uses RNA sequencing to identify genetic diagnoses in mitochondrial disease patients by detecting aberrant gene expression and splicing events.