Amrit Singh

Elexacaftor/tezacaftor/ivacaftor treatment is associated with epigenetic age deceleration in cystic fibrosis

This study shows that ETI treatment in CF patients reduces epigenetic age acceleration, linked to inflammation and disease activity.

MESSI: Multimodal Experiments with SyStematic Interrogation using nextflow

MESSI benchmarks multimodal integration methods using standardized workflows and cross-validation, showing method performance varies by dataset and task.

Circulating miR-4532 is associated with loss of ambulation in dysferlinopathy

The paper identifies miR-4532 as a circulating miRNA associated with ambulatory status in dysferlinopathy, showing differential expression between ambulatory and non-ambulatory patients.

Spatiotemporal-multimodal integration reveals BCG-induced skin-blood crosstalk

This study integrates spatiotemporal data from skin and blood to reveal BCG-induced molecular networks and predictive biomarkers of vaccine response.

CytokineFindeR: an R-package for benchmarking methods and databases for identifying cytokines

CytokineFindeR benchmarks cytokine identification methods and databases, finding inconsistent gene sets and variable performance, with CytoSig showing mixed results.

Spatial gene expression of human coronary arteries revealed the molecular features of diffuse intimal thickening in explanted hearts

This study uses spatial transcriptomics to compare gene expression in intima and media of human coronary arteries, revealing dedifferentiated SMCs in DIT that differ from proinflammatory SMCs in atherosclerotic lesions.

Omics BioAnalytics: Reproducible Research using R Shiny and Alexa

The paper introduces a web framework for omics data analysis using R Shiny and Amazon Alexa, enabling interactive exploration and hypothesis generation for health and disease biomarkers.

DIABLO: from multi-omics assays to biomarker discovery, an integrative approach

DIABLO identifies multi-omics biomarker panels to distinguish phenotypic groups, showing better biological enrichment than other methods in simulated and real datasets.

mixOmics: an R package for ‘omics feature selection and multiple data integration

The paper introduces mixOmics, an R package for multivariate analysis of omics data, focusing on integration and visualization of heterogeneous datasets.