Channel: Vanderbilt University

This collection includes bioRxiv and medRxiv papers from authors at Vanderbilt University.

3387 Articles

Sox6 expression and aneurysms of the thoracic and abdominal aorta

Carmona-Berrio, D., Adarve-Rengifo, I., Marshall, A. G., Vue, Z., Hall, D. D., Miller-Fleming, T. W., Actkins, K. V., Beasley, H. K., Almonacid Hurtado, P. M., Barturen, P., Wells, Q. S., Lopez, M. G., Garza Lopez, E., Dai, D.-F., Shao, J., Neikirk, K., Billings, F. T., Circi, J. A., Cox, N. J., Gama, V., Hinton, A. O., Gomez, J. A.

10.1101/2022.05.23.22275278 — Posted: 2022-05-25

Cooperative RNA degradation stabilizes intermediate epithelial-mesenchymal states and supports a phenotypic continuum

Nordick, B., Park, M. C.-Y., Quaranta, V., Hong, T.

10.1101/2022.05.10.491398 — Posted: 2022-05-24

Computational epitope mapping of class I fusion proteins using Bayes classification

Fischer, M. F. S., Crowe, J. E., Meiler, J.

10.1101/2022.05.23.493016 — Posted: 2022-05-24

Structural characterization of a breast cancer-associated mutation in caveolin-1

Han, B., Gulsevin, A., Connolly, S., Wang, T., Porta, J., Tiwari, A., Deng, A., Chang, L., Peskova, Y., Mchaourab, H., Karakas, E., Ohi, M. D., Meiler, J., Kenworthy, A. K.

10.1101/2022.05.23.493104 — Posted: 2022-05-23

Understanding Post-Acute Sequelae of SARS-CoV-2 Infection through Data-Driven Analysis with Longitudinal Electronic Health Records: Findings from the RECOVER Initiative

Zang, C., Zhang, Y., Xu, J., Bian, J., Morozyuk, D., Schenck, E. J., Khullar, D., Nordvig, A. S., Shenkman, E. A., Rothman, R. L., Block, J. P., Lyman, K., Weiner, M., Carton, T. W., Wang, F., Kaushal, R.

10.1101/2022.05.21.22275420 — Posted: 2022-05-23

Effect of pressure insole sampling frequency on peak force accuracy during running

Elstub, L. J., Grohowski, L. M., Wolf, D. N., Owen, M. K., Noehren, B., Zelik, K. E.

10.1101/2022.05.18.492523 — Posted: 2022-05-20

Resolution doubling in light-sheet microscopy via oblique plane structured illumination

Chen, B., Chang, B.-J., Roudot, P., Zhou, F., Sapoznik, E., Marlar-Pavey, M., Hayes, J., Brown, P., Zeng, C.-W., Lambert, T., Friedman, J. R., Zhang, C.-L., Burnette, D. T., Shepherd, D. P., Dean, K. M., Fiolka, R. P.

10.1101/2022.05.19.492671 — Posted: 2022-05-20

Kidney stone prevalence based on self-report and Electronic Health Records: insight into the prevalence of active medical care for kidney stones

Forbes, C. M., Nimmaggadda, N., Kavoussi, N. L., Xu, Y., Bejan, C. A., Miller, N. L., Hsi, R. S.

10.1101/2022.05.17.22275212 — Posted: 2022-05-19

Modeling clonal evolution and oncogenic dependency in vivo in the context of hematopoietic transformation

Bowman, R. L., Dunbar, A., Mishra, T., Xiao, W., Waarts, M. R., Fernandez Maestre, I., Eisman, S. E., Cai, L., Cai, S. F., Sanchez Vela, P., Mowla, S., Martinez Benitez, A. R., Park, Y., Csete, I. S., Krishnan, A., Lee, D., Boorady, N., Potts, C. R., Jenkins, M. T., Carroll, M. P., Meyer, S. E., Miles, L. A., Ferrell, P. B., Trowbridge, J. J., Levine, R. L.

10.1101/2022.05.18.492524 — Posted: 2022-05-18

A comprehensive investigation of statistical and machine learning approaches for predicting complex human diseases on genomic variants

Wang, C., Zhang, J., Zhou, X., Zhang, L.

10.1101/2022.05.16.492056 — Posted: 2022-05-18

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