Results 21 to 30 of about 2,290,848 (276)

Prediction of metal ion ligand binding residues by adding disorder value and propensity factors based on deep learning algorithm

Frontiers in Genetics, 2022
Proteins need to interact with different ligands to perform their functions. Among the ligands, the metal ion is a major ligand. At present, the prediction of protein metal ion ligand binding residues is a challenge. In this study, we selected Zn2+, Cu2+,
Sixi Hao, Sixi Hao, Xiuzhen Hu, Xiuzhen Hu, Zhenxing Feng, Zhenxing Feng, Kai Sun, Kai Sun, Xiaoxiao You, Xiaoxiao You, Ziyang Wang, Ziyang Wang, Caiyun Yang, Caiyun Yang   +13 more
doaj   +1 more source

A nonparametric Bayesian continual reassessment method in single-agent dose-finding studies

BMC Medical Research Methodology, 2018
Background The main purpose of dose-finding studies in Phase I trial is to estimate maximum tolerated dose (MTD), which is the maximum test dose that can be assigned with an acceptable level of toxicity.
Niansheng Tang, Songjian Wang, Gen Ye
doaj   +1 more source

Recognition of Metal Ion Ligand-Binding Residues by Adding Correlation Features and Propensity Factors

Frontiers in Genetics, 2022
The realization of many protein functions is inseparable from the interaction with ligands; in particular, the combination of protein and metal ion ligands performs an important biological function.
Shuang Xu, Shuang Xu, Xiuzhen Hu, Xiuzhen Hu, Zhenxing Feng, Zhenxing Feng, Jing Pang, Jing Pang, Kai Sun, Kai Sun, Xiaoxiao You, Xiaoxiao You, Ziyang Wang, Ziyang Wang   +13 more
doaj   +1 more source

Statistical Modeling and Estimation of Censored Pathloss Data [PDF]

, 2015
Pathloss is typically modeled using a log-distance power law with a large-scale fading term that is log-normal. However, the received signal is affected by the dynamic range and noise floor of the measurement system used to sound the channel, which can ...
Abbas, Taimoor, Bolin, David, Gustafson, Carl, Tufvesson, Fredrik   +3 more
core   +2 more sources

A Modified Conjugate Residual Method and Nearest Kronecker Product Preconditioner for the Generalized Coupled Sylvester Tensor Equations

Mathematics, 2022
This paper is devoted to proposing a modified conjugate residual method for solving the generalized coupled Sylvester tensor equations. To further improve its convergence rate, we derive a preconditioned modified conjugate residual method based on the ...
Tao Li, Qing-Wen Wang, Xin-Fang Zhang
doaj   +1 more source

Discussion of "Statistical Modeling of Spatial Extremes" by A. C. Davison, S. A. Padoan and M. Ribatet [PDF]

, 2012
Discussion of "Statistical Modeling of Spatial Extremes" by A. C. Davison, S. A. Padoan and M. Ribatet [arXiv:1208.3378].Comment: Published in at http://dx.doi.org/10.1214/12-STS376B the Statistical Science (http://www.imstat.org/sts/) by the Institute
Gabda, Darmesah, Tawn, Jonathan, Towe, Ross, Wadsworth, Jennifer   +3 more
core   +3 more sources

Statistical framework for video decoding complexity modeling and prediction [PDF]

, 2009
Video decoding complexity modeling and prediction is an increasingly important issue for efficient resource utilization in a variety of applications, including task scheduling, receiver-driven complexity shaping, and adaptive dynamic voltage scaling.
Andreopoulos, Y, Kontorinis, N, Van Der Schaar, M   +2 more
core   +1 more source

Updated distribution maps of predominant Culex mosquitoes across the Americas

Parasites & Vectors, 2021
Background Estimates of the geographical distribution of Culex mosquitoes in the Americas have been limited to state and provincial levels in the United States and Canada and based on data from the 1980s.
Morgan E. Gorris, Andrew W. Bartlow, Seth D. Temple, Daniel Romero-Alvarez, Deborah P. Shutt, Jeanne M. Fair, Kimberly A. Kaufeld, Sara Y. Del Valle, Carrie A. Manore   +8 more
doaj   +1 more source

Estimating effective reproduction number revisited

Infectious Disease Modelling, 2023
Accurately estimating the effective reproduction number is crucial for characterizing the transmissibility of infectious diseases to optimize interventions and responses during epidemic outbreaks. In this study, we improve the estimation of the effective
Shinsuke Koyama
doaj   +1 more source

Comparison of Bootstrap Methods for Estimating Causality in Linear Dynamic Systems: A Review

Entropy, 2023
In this study, we present a thorough comparison of the performance of four different bootstrap methods for assessing the significance of causal analysis in time series data. For this purpose, multivariate simulated data are generated by a linear feedback
Fumikazu Miwakeichi, Andreas Galka
doaj   +1 more source