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P. Zurn and Bassett, D. S., Philosophy of Biology: Seizing an opportunity, eLife, vol. 8, p. e48336, 2019.
F. Zufferey, Sherr, E. H., Beckmann, N. D., Hanson, E., Maillard, A. M., Hippolyte, L., Macé, A., Ferrari, C., Kutalik, Z., Andrieux, J., Aylward, E., Barker, M., Bernier, R., Bouquillon, S., Conus, P., Delobel, B., W Faucett, A., Goin-Kochel, R. P., Grant, E., Harewood, L., Hunter, J. V., Lebon, S., Ledbetter, D. H., Martin, C. Lese, Männik, K., Martinet, D., Mukherjee, P., Ramocki, M. B., Spence, S. J., Steinman, K. J., Tjernagel, J., Spiro, J. E., Reymond, A., Beckmann, J. S., Chung, W. K., and Jacquemont, S., A 600 kb deletion syndrome at 16p11.2 leads to energy imbalance and neuropsychiatric disorders., J Med Genet, vol. 49, no. 10, pp. 660-8, 2012.
F. Zou, Chai, H. Seng, Younkin, C. S., Allen, M., Crook, J., V Pankratz, S., Carrasquillo, M. M., Rowley, C. N., Nair, A. A., Middha, S., Maharjan, S., Nguyen, T., Ma, L., Malphrus, K. G., Palusak, R., Lincoln, S., Bisceglio, G., Georgescu, C., Kouri, N., Kolbert, C. P., Jen, J., Haines, J. L., Mayeux, R., Pericak-Vance, M. A., Farrer, L. A., Schellenberg, G. D., Petersen, R. C., Graff-Radford, N. R., Dickson, D. W., Younkin, S. G., and Ertekin-Taner, N., Brain expression genome-wide association study (eGWAS) identifies human disease-associated variants., PLoS Genet, vol. 8, no. 6, p. e1002707, 2012.
J. M. Zosh, Hirsh-Pasek, K., Golinkoff, R. Michnick, and Parish-Morris, J., Learning in the Digital Age: Putting Education Back in Educational Apps for Young Children, 2016.
Z. Zhang, Telesford, Q. K., Giusti, C., Lim, K. O., and Bassett, D. S., Choosing Wavelet Methods, Filters, and Lengths for Functional Brain Network Construction., PLoS One, vol. 11, no. 6, p. e0157243, 2016.
F. Zhang, Savadjiev, P., Caí, W., Song, Y., Verma, R., Westin, C. - F., and O'Donnell, L. J., Fiber clustering based white matter connectivity analysis for prediction of Autism Spectrum Disorder using diffusion tensor imaging, in Biomedical Imaging (ISBI), 2016 IEEE 13th International Symposium on, 2016.
H. Zhang, Harris, L., Split, M., Troiani, V., and Olson, I. R., Anhedonia and individual differences in orbitofrontal cortex sulcogyral morphology., Hum Brain Mapp, vol. 37, no. 11, pp. 3873-3881, 2016.
S. Zhang, Bassett, D. S., and Winkelstein, B. A., Stretch-induced network reconfiguration of collagen fibres in the human facet capsular ligament., J R Soc Interface, vol. 13, no. 114, p. 20150883, 2016.
F. Zhang, Savadjiev, P., Caí, W., Song, Y., Rathi, Y., Tunc, B., Parker, D., Kapur, T., Schultz, R. T., Makris, N., Verma, R., and O'Donnell, L. J., Whole brain white matter connectivity analysis using machine learning: An application to autism., Neuroimage, vol. 172, pp. 826-837, 2018.
K. Zeng, Erus, G., Sotiras, A., Shinohara, R. T., and Davatzikos, C., Abnormality detection via iterative deformable registration and basis-pursuit decomposition., IEEE Trans Med Imaging, 2016.