Zobrazeno 1 - 10
of 107
pro vyhledávání: '"Robert Azencott"'
Publikováno v:
Brain Informatics, Vol 7, Iss 1, Pp 1-13 (2020)
Abstract By computerized analysis of cortical activity recorded via fMRI for pediatric epilepsy patients, we implement algorithmic localization of epileptic seizure focus within one of eight cortical lobes. Our innovative machine learning techniques
Externí odkaz:
https://doaj.org/article/e8a19c83bd654a979844e3619007023e
Autor:
Sorena Sarmadi, James J. Winkle, Razan N. Alnahhas, Matthew R. Bennett, Krešimir Josić, Andreas Mang, Robert Azencott
Publikováno v:
Mathematical and Computational Applications, Vol 27, Iss 2, p 22 (2022)
Our work targets automated analysis to quantify the growth dynamics of a population of bacilliform bacteria. We propose an innovative approach to frame-sequence tracking of deformable-cell motion by the automated minimization of a new, specific cost
Externí odkaz:
https://doaj.org/article/f88405103cee470a9911e94d3622a6bc
Autor:
Vasudha Sehgal, Elena G Seviour, Tyler J Moss, Gordon B Mills, Robert Azencott, Prahlad T Ram
Publikováno v:
PLoS ONE, Vol 10, Iss 10, p e0140072 (2015)
MicroRNAs (miRNAs) play a crucial role in the maintenance of cellular homeostasis by regulating the expression of their target genes. As such, the dysregulation of miRNA expression has been frequently linked to cancer. With rapidly accumulating molec
Externí odkaz:
https://doaj.org/article/53b832509d9a4c7095e1c7288c7ec5e1
Publikováno v:
PLoS ONE, Vol 9, Iss 4, p e95205 (2014)
The miRNAs regulate cell functions by inhibiting expression of proteins. Research on miRNAs had usually focused on identifying targets by base pairing between miRNAs and their targets. Instead of identifying targets, this paper proposed an innovative
Externí odkaz:
https://doaj.org/article/a214da947d5d4b51b8318b6aa30e2496
Publikováno v:
PLoS ONE, Vol 9, Iss 3, p e91743 (2014)
Cellular networks are highly dynamic in their function, yet evolutionarily conserved in their core network motifs or topologies. Understanding functional tunability and robustness of network motifs to small perturbations in function and structure is
Externí odkaz:
https://doaj.org/article/0ed04d1f166041e7bffecce1940af915
Autor:
Zijun Luo, Xuping Xu, Peili Gu, David Lonard, Preethi H Gunaratne, Austin J Cooney, Robert Azencott
Publikováno v:
PLoS ONE, Vol 6, Iss 10, p e23263 (2011)
MicroRNAs (miRNAs) play an important role in gene regulation for Embryonic Stem cells (ES cells), where they either down-regulate target mRNA genes by degradation or repress protein expression of these mRNA genes by inhibiting translation. Well known
Externí odkaz:
https://doaj.org/article/6d55613c686c458e9f1edc0ca644f9ff
Publikováno v:
Computational Economics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::123d028b39db51faca57a877b253952b
https://doi.org/10.1007/s10614-023-10367-6
https://doi.org/10.1007/s10614-023-10367-6
Autor:
Elizabeth Herrera, K. Carlos El-Tallawi, Peng Zhang, Jessen Jacob, Gerald M. Lawrie, Jiaqiong Xu, Jiwen He, Mohammed A. Chamsi-Pasha, William A. Zoghbi, Robert Azencott
Publikováno v:
JACC: Cardiovascular Imaging. 14:782-793
Objectives The aim of this study was to assess mitral valve (MV) remodeling and strain in patients with secondary mitral regurgitation (SMR) compared with primary MR (PMR) and normal valves. Background A paucity of data exists on MV strain during the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0448c22d6a7fbeb311836485f3719197
https://doi.org/10.1016/j.jcmg.2021.02.004
https://doi.org/10.1016/j.jcmg.2021.02.004
Publikováno v:
Journal of Forecasting. 40:416-438
Predicting the intraday stock jumps is a significant but challenging problem in finance. Due to the instantaneity and imperceptibility characteristics of intraday stock jumps, relevant studies on their predictability remain limited. This paper propos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af6f0a0a77d4adeba01a9cf0c156fccc
https://doi.org/10.1002/for.2721
https://doi.org/10.1002/for.2721
Publikováno v:
Finance and Stochastics. 24:723-755
We present a detailed analysis of observable moment-based parameter estimators for the Heston SDEs jointly driving the rate of returns $(R_{t})$ and the squared volatilities $(V_{t})$ . Since volatilities are not directly observable, our parameter es
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5c8d3b0acf6429206ee43acb70865f0
https://doi.org/10.1007/s00780-020-00427-2
https://doi.org/10.1007/s00780-020-00427-2