Fazlul Huq

The paper identifies genes and molecular pathways associated with Alzheimer’s disease by analyzing gene expression data from multiple related conditions and using network-based methods.

The paper identifies differentially expressed genes, pathways, transcription factors, and microRNAs between follicular thyroid carcinoma and follicular thyroid adenoma using system biology approaches.

The paper identifies 12 dysregulated genes shared between brain and blood cells in Parkinson's disease using transcriptomic and eQTL data, validated with dbGaP.

The paper identifies gene expression changes in respiratory tissues exposed to welding fumes and links them to respiratory system diseases through network analysis.

This study identifies blood-based biomarker signatures and candidate drugs for Alzheimer's disease through integrative transcriptomics and network analyses.

The paper identifies differentially expressed genes between welding fumes and five neurodegenerative diseases using network analysis and gene expression data.

The paper develops a framework to analyze how mitochondrial dysfunction affects neurological disorders by examining gene-disease networks, KEGG pathways, and protein interactions.

The paper identifies gene expression patterns in ovarian cancer associated with disease progression and mortality using clinical and transcriptomic data from TCGA.