@article{gonzalez_angus_tetteh_bello_padmanabhan_pendse_srinivas_yu_semazzi_kumar_et al._2015, title={On the data-driven inference of modulatory networks in climate science: an application to West African rainfall}, volume={22}, ISSN={["1607-7946"]}, DOI={10.5194/npg-22-33-2015}, abstractNote={Abstract. Decades of hypothesis-driven and/or first-principles research have been applied towards the discovery and explanation of the mechanisms that drive climate phenomena, such as western African Sahel summer rainfall~variability. Although connections between various climate factors have been theorized, not all of the key relationships are fully understood. We propose a data-driven approach to identify candidate players in this climate system, which can help explain underlying mechanisms and/or even suggest new relationships, to facilitate building a more comprehensive and predictive model of the modulatory relationships influencing a climate phenomenon of interest. We applied coupled heterogeneous association rule mining (CHARM), Lasso multivariate regression, and dynamic Bayesian networks to find relationships within a complex system, and explored means with which to obtain a consensus result from the application of such varied methodologies. Using this fusion of approaches, we identified relationships among climate factors that modulate Sahel rainfall. These relationships fall into two categories: well-known associations from prior climate knowledge, such as the relationship with the El Niño–Southern Oscillation (ENSO) and putative links, such as North Atlantic Oscillation, that invite further research.}, number={1}, journal={NONLINEAR PROCESSES IN GEOPHYSICS}, author={Gonzalez, D. L., II and Angus, M. P. and Tetteh, I. K. and Bello, G. A. and Padmanabhan, K. and Pendse, S. V. and Srinivas, S. and Yu, J. and Semazzi, F. and Kumar, V. and et al.}, year={2015}, pages={33–46} }
 @article{padmanabhan_nudelman_harenberg_bello_sohn_shpanskaya_dikshit_yerramsetty_tanzi_saykin_et al., title={Characterizing gene and protein crosstalks in subjects at risk of developing Alzheimer's disease: A new computational approach}, volume={5}, number={3}, journal={Processes}, author={Padmanabhan, K. and Nudelman, K. and Harenberg, S. and Bello, G. and Sohn, D. and Shpanskaya, K. and Dikshit, P. T. and Yerramsetty, P. S. and Tanzi, R. E. and Saykin, A. J. and et al.} }
 @book{harenberg_bello_gjeltema_ranshous_harlalka_seay_padmanabhan_samatova, title={Community detection in large-scale networks: A Survey and empirical evaluation}, journal={Technical Report- Not held in TRLN member libraries}, author={Harenberg, S. and Bello, G. A. and Gjeltema, L. and Ranshous, S. and Harlalka, J. and Seay, R. and Padmanabhan, K. and Samatova, N.}, pages={2014} }