Preetam Ghosh

This paper introduces a physics-informed machine learning framework for automatic model reduction in chemical reaction networks, enhancing efficiency and accuracy in simulating complex systems like Aβ fibril aggregation.

CORTADO identifies cell-type-specific marker genes using hill-climbing optimization, improving sensitivity and specificity over existing methods.

COFFEE improves gene regulatory network inference in scRNA-seq by integrating multiple methods through a consensus approach, outperforming individual algorithms on various datasets.

CHAI improves cell-type identification in scRNA-seq by integrating clustering results from multiple methods, outperforming existing approaches and supporting spatial transcriptomics data.

This study shows that hindlimb unloading causes age-dependent changes in bone microarchitecture and gene expression in mice, with younger mice showing senescence pathway activation and older mice showing mitochondrial dysfunction.

The paper examines the relationship between early life alcohol consumption and neuron-enriched exosomal miRNA expression, finding significant associations with specific miRNAs and biological functions.

The paper reclassifies strain PO100/5 as Corynebacterium silvaticum, identifies genetic markers, and shows its geographic and genetic distinctiveness from other strains.