SCHOLARS@TAMU

Lee, D., Jayaraman, A., & Kwon, J. S. (2020). Development of a hybrid model for a partially known intracellular signaling pathway through correction term estimation and neural network modeling. PLOS Computational Biology. 16(12), e1008472-e1008472.

Yang, F., DeLuca, J., Menon, R., Garcia-Vilarato, E., Callaway, E., Landrock, K. K., ... Jayaraman, A. (2020). Effect of diet and intestinal AhR expression on fecal microbiome and metabolomic profiles. Microbial Cell Factories. 19(1), 219.

Park, S., Ufondu, A., Lee, K., & Jayaraman, A. (2020). Emerging computational tools and models for studying gut microbiota composition and function. Current Opinion in Biotechnology. 66, 301-311.

Yang, J., Chawla, R., Rhee, K. Y., Gupta, R., Manson, M. D., Jayaraman, A., & Lele, P. P. (2020). Biphasic chemotaxis of Escherichia coli to the microbiota metabolite indole. Proc Natl Acad Sci U S A. 117(11), 6114-6120.

Lee, K., & Jayaraman, A. (2019). Interactions between gut microbiota and non-alcoholic liver disease: the role of microbiota-derived metabolites. Pharmacological Research. 142, 314-314.

Jayaraman, A., & Wood, T. K. (2008). Bacterial Quorum Sensing: Signals, Circuits, and Implications for Biofilms and Disease. Annual Reviews.

Yarmush, M. L., & Jayaraman, A. (2002). ADVANCES IN PROTEOMIC TECHNOLOGIES. Annual Reviews.

Sule, N., Penarete-Acosta, D., Englert, D. L., & Jayaraman, A. (2018). A Static Microfluidic Device for Investigating the Chemotaxis Response to Stable, Non-linear Gradients. Methods in Molecular Biology. Bacterial Chemosensing. (pp. 47-59). Springer New York.

Huang, J. H., Jayaraman, A., & Ugaz, V. M. (2012). Microvascular Networks for Tissue Engineering. Microfluidic Cell Culture Systems. (pp. 27-52). Elsevier.

Choi, B. H., Huang, J. H., Priye, A., Presley, B., Jayaraman, A., & Ugaz, V. M. (2016). A membraneless high-throughput micro-separator. 1525-1526.

Kotu, S. P., Erbay, C., Sobahi, N., Han, A., Mannan, S., & Jayaraman, A. (2016). Integration of electrochemical impedance spectroscopy and microfluidics for investigating microbially influenced corrosion using co-culture biofilms. NACE - International Corrosion Conference Series. 6, 4312-4325.

Contreras-Naranjo, J. C., Chang, J., Jayaraman, A., & Ugaz, V. M. (2016). Interference-based probe of the nano-scale topography of microparticles. 1352-1353.

Lee, K., Krishnan, S., Choi, M., Ding, Y., Saedi, N., Jayaraman, A., & Yarmush, M. L. (2016). Using metabolomics to identify gut microbiota-derived metabolites as host inflammation modulators. 177-178.

Howsmon, D., Hahn, J., Steinmeye, S., Jayaraman, A., & Alaniz, R. (2015). Neural Networks Elucidate T Cell Priming Conditions for Adoptive Transfer. 2015 41ST ANNUAL NORTHEAST BIOMEDICAL ENGINEERING CONFERENCE (NEBEC). 1-2.