Article Versions Notes

Mazumder S, Mitra Ghosh T, Mukherjee UK, Chakravarti S, Amiri F, Waliagha RS, Hemmati F, Mistriotis P, Ahmed S, Elhussin I, et al. Integrating Pharmacogenomics Data-Driven Computational Drug Prediction with Single-Cell RNAseq to Demonstrate the Efficacy of a NAMPT Inhibitor against Aggressive, Taxane-Resistant, and Stem-like Cells in Lethal Prostate Cancer. Cancers. 2022; 14(23):6009. https://doi.org/10.3390/cancers14236009

Mazumder, Suman, Taraswi Mitra Ghosh, Ujjal K. Mukherjee, Sayak Chakravarti, Farshad Amiri, Razan S. Waliagha, Farnaz Hemmati, Panagiotis Mistriotis, Salsabil Ahmed, Isra Elhussin, and et al. 2022. "Integrating Pharmacogenomics Data-Driven Computational Drug Prediction with Single-Cell RNAseq to Demonstrate the Efficacy of a NAMPT Inhibitor against Aggressive, Taxane-Resistant, and Stem-like Cells in Lethal Prostate Cancer" Cancers 14, no. 23: 6009. https://doi.org/10.3390/cancers14236009

Mazumder, S., Mitra Ghosh, T., Mukherjee, U. K., Chakravarti, S., Amiri, F., Waliagha, R. S., Hemmati, F., Mistriotis, P., Ahmed, S., Elhussin, I., Salam, A.-B., Dean-Colomb, W., Yates, C., Arnold, R. D., & Mitra, A. K. (2022). Integrating Pharmacogenomics Data-Driven Computational Drug Prediction with Single-Cell RNAseq to Demonstrate the Efficacy of a NAMPT Inhibitor against Aggressive, Taxane-Resistant, and Stem-like Cells in Lethal Prostate Cancer. Cancers, 14(23), 6009. https://doi.org/10.3390/cancers14236009