Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Mehdi, Maadooliat"'
Autor:
Arash Ghorbannia, Mehdi Maadooliat, Ronald K. Woods, Said H. Audi, Brandon J. Tefft, Claudio Chiastra, El Sayed H. Ibrahim, John F. LaDisa
Publikováno v:
Biomedicines, Vol 11, Iss 7, p 1817 (2023)
Background: Coarctation of the aorta (CoA; constriction of the proximal descending thoracic aorta) is among the most common congenital cardiovascular defects. Coarctation-induced mechanical perturbations trigger a cycle of mechano-transduction events
Externí odkaz:
https://doaj.org/article/1b3a0a2789114111bed9e764d11eda3d
Autor:
Arash Ghorbannia, Chalani D. Ellepola, Ronald K. Woods, El-Sayed H. Ibrahim, Mehdi Maadooliat, Hilda Martinez Ramirez, John F. LaDisa
Publikováno v:
Journal of the American Society of Echocardiography. 35:1311-1321
Long-term morbidity including hypertension often persists in coarctation patients despite current guidelines. Coarctation severity can be invasively assessed via peak-to-peak catheter pressure gradient (PPCG), which is estimated noninvasively via sim
Autor:
LaDisa, Arash Ghorbannia, Mehdi Maadooliat, Ronald K. Woods, Said H. Audi, Brandon J. Tefft, Claudio Chiastra, El Sayed H. Ibrahim, John F.
Publikováno v:
Biomedicines; Volume 11; Issue 7; Pages: 1817
Background: Coarctation of the aorta (CoA; constriction of the proximal descending thoracic aorta) is among the most common congenital cardiovascular defects. Coarctation-induced mechanical perturbations trigger a cycle of mechano-transduction events
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 15, Iss , Pp 243-254 (2017)
Recently, the study of protein structures using angular representations has attracted much attention among structural biologists. The main challenge is how to efficiently model the continuous conformational space of the protein structures based on th
Externí odkaz:
https://doaj.org/article/5b2729e7c06044deafec96080da240a3
Autor:
Mehdi Maadooliat, Naveen K Bansal, Jiblal Upadhya, Manzur R. Farazi, Xiang Li, Scott J Hebbring, Max M He, Zhan Ye, Steven J Schrodi
Publikováno v:
Frontiers in Genetics, Vol 7 (2016)
Several important and fundamental aspects of disease genetics models have yet to be described. One such property is the relationship of disease association statistics at a marker site closely linked to a disease causing site. A complete description o
Externí odkaz:
https://doaj.org/article/ffe58b3ea8f24702aa77e47f734d165d
Publikováno v:
Emerging Topics in Statistics and Biostatistics ISBN: 9783031139703
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::060049310173fc9a733030ef870f8e40
https://doi.org/10.1007/978-3-031-13971-0_9
https://doi.org/10.1007/978-3-031-13971-0_9
Autor:
Steven J. Schrodi, Peng An, Minghua Wang, Robert Strenn, Narendranath Epperla, Wenyu Wu, Terrie Kitchner, Fudi Wang, Jiucun Wang, Jennifer K. Meece, Joseph J. Mazza, Zhan Ye, Mehdi Maadooliat, Shuai Jiang, Jeffrey Joyce, Yanyun Ma, Brent F. Olson, Shicheng Guo, Judith A. Smith, Li Jin
Publikováno v:
Blood. 133:1888-1898
Standard analyses applied to genome-wide association data are well designed to detect additive effects of moderate strength. However, the power for standard genome-wide association study (GWAS) analyses to identify effects from recessive diplotypes i
Publikováno v:
Journal of Statistical Theory and Practice. 15
We consider a multiple hypotheses testing problem with directional alternatives in a decision theoretic framework. Considering non-symmetric alternative hypotheses, we show that the skewness in the alternatives permits the Bayes rule to make more cor
Multivariate circular observations, i.e. points on a torus arise frequently in fields where instruments such as compass, protractor, weather vane, sextant or theodolite are used. Multivariate wrapped models are often appropriate to describe data poin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::351f1da27a5db752fde886f654d4b619
https://link.springer.com/article/10.1007/s00180-020-01006-x
https://link.springer.com/article/10.1007/s00180-020-01006-x
In this paper, we develop a method for estimating and clustering two-dimensional spectral density functions (2D-SDFs) for spatial data from multiple subregions. We use a common set of adaptive basis functions to explain the similarities among the 2D-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d367694787bf9f61772ad72c74c38d3
http://arxiv.org/abs/2007.14085
http://arxiv.org/abs/2007.14085