Muhammad Arif

This study evaluates how EEG preprocessing affects attention mechanisms in visual EEG decoding, showing that comprehensive preprocessing improves artifact suppression without sacrificing accuracy.

This study identifies PKLR as a therapeutic target for NAFLD and validates two drug candidates through in vitro and in vivo experiments.

GutMicroNet provides an interactive platform to explore gut microbiome interaction networks using data from the Human Gut Microbiome Atlas.

This study identifies dysregulated transcriptional regulators in NAFLD using network analysis and integrates transcriptomic data with metabolic models.

This study identifies retinoids and sex hormone dysregulation as ageing-related features in Alzheimer's and Parkinson's disease subclasses using transcriptomic and metabolic analyses.

The paper analyzes transcriptomic changes in heart and other metabolically active tissues after myocardial infarction in mice, identifying common and tissue-specific biological responses.

iNetModels 2.0 provides an interactive platform for visualizing and exploring multi-omics associations in human health and disease.

The paper investigates the prognostic significance of PKM transcripts in 25 cancers and identifies a prognostic signature in KIRC, revealing functional roles of alternatively spliced PKM transcripts.

The paper identifies two ccRCC subtypes based on PKM alternative splicing and proposes drug repurposing for each subtype.