Wei Wei

The paper evaluates parameters for genome-scale metabolic models of cultured mammalian cells, finding that homeostasis, dynamic morphology, and biomass composition are critical for accurate predictions.

The paper integrates machine learning with genome-scale metabolic models to accurately predict amino acid concentrations in Chinese Hamster Ovary cell cultures over time.

This paper shows that molecular subtypes and gene signatures in ovarian cancer are influenced by stromal cell content, suggesting that bulk tissue analysis may be unreliable without accounting for cell admixture.