Friederike Ehrhart

Network analysis reveals converging molecular mechanisms in genetic epilepsies

The paper identifies converging molecular pathways in genetic epilepsies through network analysis of epilepsy-associated genes and highlights potential therapeutic targets.

GSEA and the coexpression network approach identify novel pathway connections of molecular processes affected in Porto-sinusoidal vascular disease.

The paper uses GSEA and WGCNA to identify dysregulated pathways in Porto-sinusoidal vascular disease, revealing immune, signaling, and metabolic dysfunctions.

Collaborative network analysis for the interpretation of transcriptomics data in rare diseases, an application to Huntington's disease

This study applies collaborative network analysis to Huntington's disease transcriptomics data to identify enriched pathways and generate hypotheses about disease mechanisms.

Integrative analysis of CAKUT multi-omics data

The paper integrates multi-omics data from CAKUT patients to identify collagen's role in disease development and provides containerized workflows for analysis.

A versatile and interoperable computational framework for the analysis and modeling of COVID-19 disease mechanisms

The paper presents a computational framework for analyzing SARS-CoV-2-host interactions to identify drug targets and model disease mechanisms.

Converging pathways found in copy number variation syndromes with high schizophrenia risk

This study identifies common molecular pathways associated with schizophrenia risk in copy number variation syndromes by analyzing gene interactions and pathways from multiple databases.

COVID-19 Disease Map, a computational knowledge repository of SARS-CoV-2 virus-host interaction mechanisms

The paper describes the development of a computational knowledge repository, the COVID-19 Disease Map, which curates SARS-CoV-2 virus-host interaction mechanisms and provides tools for their analysis and application.

History of rare diseases and their genetic causes - a data driven approach

This paper provides a dataset linking rare monogenic diseases to their causative genes, revealing the timeline of discoveries and their relation to methodological and database advancements.

A cancer pharmacogenomic screen powering crowd-sourced advancement of drug combination prediction

The paper presents a large-scale cancer pharmacogenomic screen with 11,576 experiments on 910 drug combinations across 85 cancer cell lines, enabling crowd-sourced prediction of synergistic drug pairs and biomarkers.

Integrated analysis of human transcriptome data for Rett syndrome finds a network of involved genes

The paper integrates transcriptome data from human cells with impaired MECP2 to identify a network of genes involved in Rett syndrome and their regulatory mechanisms.

Low parental melatonin levels increases autism spectrum disorder risk in children

The paper investigates the association between low maternal melatonin levels and increased autism spectrum disorder risk in children.

Rett syndrome - biological pathways leading from MECP2 to disorder phenotypes

This review summarizes changes in metabolite levels, gene expression, and biological pathways in Rett syndrome, linking them to MECP2-related mechanisms and identifying knowledge gaps.

Current systems biology approaches in hazard assessment of nanoparticles

This paper reviews systems biology approaches to assess nanoparticle hazards, highlighting their value in understanding NP effects on biological systems.