Mehran Piran

This paper introduces optimal transport to explicitly reveal cell correspondences in single-cell multi-omics, improving integration and label transfer by identifying and removing ambiguous cells.

This study uses human kidney organoids to model hypoxic injury and maladaptive repair, identifying molecular and metabolic changes associated with AKI and CKD progression.

The paper identifies differentially expressed genes in colorectal cancer progression and proposes therapeutic targets and biomarkers.

This study evaluates whether gene expression profiles can reliably infer signaling network activity and finds they are not more coherent with causal relationships than random data.

This study identifies potential biomarkers for primary prostate cancer through meta-analysis of transcriptomic data and functional enrichment analysis.

This study investigates the molecular mechanism of redox homeostasis in colorectal cancer cells, identifying how altered expression of redox-related genes supports proliferation in hypoxic conditions.

The paper uses an integrated data mining approach to identify boolean relationships between Src and its targets by analyzing genomic, literature, and signaling databases.

This study identifies key genes involved in HAM/TSP pathogenesis through high-throughput data integration and meta-analysis, revealing differential expression of STAT1, TAP1, and PSMB8.

The paper designs a drug combination to inhibit EMT in a 3D microenvironment by targeting histone deacetylases, SRC, and IKBK, showing effectiveness in a microfluidic model.