Mark R. Chance

Publications

Ayati, M., Chance, M., & Koyutürk, M. (2020). Co-Phosphorylation Networks Reveal Subtype-Specific Signaling Modules in Breast Cancer. Bioinformatics.
Stanfield, Z., Amini, P., Wang, J., Yi, L., Tan, H., Chance, M., Koyut�rk, M., & Mesiano, S. (2019). Interplay of transcriptional signaling by progesterone, cyclic AMP, and inflammation in myometrial cells: implications for the control of human parturition. MHR: Basic science of reproductive Medicine, 25 (7), 408-422.
Stanfield, Z., Lai, P., Lei, K., Johnson, M., Blanks, A., Romero, R., Chance, M., Mesiano, S., & Koyut�rk, M. (2019). Myometrial Transcriptional Signatures of Human Parturition. Frontiers in Genetics, 10
Ayati, M., Wiredja, D., Schlatzer, D., Maxwell, S., Li, Z., Koyut�rk, M., & Chance, M. (2019). CoPhosK: A method for comprehensive kinase substrate annotation using co-phosphorylation analysis. PLoS Computational Biology, 15 (2).
Wiredja, D., Ayati, M., Mazhar, S., Sangodkar, J., Maxwell, S., Schlatzer, D., Narla, G., Koyutürk, M., & Chance, M. (2017). Phosphoproteomics Profiling of Nonsmall Cell Lung Cancer Cells Treated with a Novel Phosphatase Activator. Proteomics.
Wiredja, D., Koyutürk, M., & Chance, M. (2017). The KSEA App: a web-based tool for kinase activity inference from quantitative phosphoproteomics. Bioinformatics.