Results 71 to 80 of about 757,673 (309)

DNA methylation and expression of MAPRE3 affect overall survival of early‐stage non‐small cell lung cancer patients

Molecular Oncology, EarlyView.
Both cg12821679MAPRE3 methylation and MAPRE3 expression are significantly associated with overall survival (OS) of non‐small cell lung cancer. Meanwhile, MAPRE3 expression significantly modified the effect of smoking cessation on OS. Smoking cessation benefits OS merely for patients with high MAPRE3 expression.
Chao Chen, Jiancheng Cheng, Ruili Hou, Xiaoyuan Zheng, Li Su, Maria Moksnes Bjaanæs, Anna Karlsson, Maria Planck, Johan Staaf, Åslaug Helland, Manel Esteller, David C. Christiani, Feng Chen, Xiaofei Cao, Ruyang Zhang   +14 more
wiley   +1 more source

Dynamic parameters for Brazilian financial time series

Economia Aplicada, 2002
In this study we analyse a Brazilian stock index called IBOVESPA using techniques from dynamical systems theory and stochastic processes. We discuss the Lyapunov exponent, the correlation dimension, the LempelZiv complexity, the Hurst exponent and the ...
Gerson Francisco, Cláudio Paiva, Rogerio Rosenfeld   +2 more
doaj  

Estimation of Dynamic Networks for High-Dimensional Nonstationary Time Series

Entropy, 2019
This paper is concerned with the estimation of time-varying networks for high-dimensional nonstationary time series. Two types of dynamic behaviors are considered: structural breaks (i.e., abrupt change points) and smooth changes.
Mengyu Xu, Xiaohui Chen, Wei Biao Wu
doaj   +1 more source

Using Dynamics to Analyse Time Series

, 2017
We present a review of recent work to analyze time series in a robust manner using Wasserstein distances which are numerical costs of an optimal transportation problem. Given a time series, the long-term behavior of the dynamical system represented by the time series is reconstructed by Takens delay embedding method.
openaire   +2 more sources

Dynamic height at time series station iesK_1

, 2010
Dynamic height at time series station ...
Lukas, Roger, Karl, David Michael, Roger Lukas (6968498), David Michael Karl (6961184)   +3 more
core   +1 more source

Modelling the effects of air pollution on health using Bayesian dynamic generalised linear models [PDF]

, 2008
The relationship between short-term exposure to air pollution and mortality or morbidity has been the subject of much recent research, in which the standard method of analysis uses Poisson linear or additive models.
Shaddick, G, Lee, D, Lee, D., Shaddick, G.   +3 more
core   +1 more source

Clinical performance of the urine‐based TERT promoter AbsoluteQ Digital PCR for non‐invasive detection of bladder cancer

Molecular Oncology, EarlyView.
A urine‐based digital PCR assay targeting two hotspot TERT promoter variants detected bladder cancer with high sensitivity and no false positives in this case–control cohort. The streamlined AbsoluteQ workflow outperformed Sanger sequencing and supports non‐invasive molecular testing for bladder cancer detection.
Anna Nykel, Izabela Kubiak, Lena Rutkowska, Żaneta Kasprzyk, Łukasz Kępczyński, Michał Bednarek, Dariusz Sobieraj, Jacek Wilkosz, Piotr Kania, Adam Jędrzejczyk, Bogdan Kałużewski, Agnieszka Gach, Tadeusz Kałużewski   +12 more
wiley   +1 more source

Nonparametric time series forecasting with dynamic updating [PDF]

We present a nonparametric method to forecast a seasonal univariate time series, and propose four dynamic updating methods to improve point forecast accuracy. Our methods consider a seasonal univariate time series as a functional time series.
Han Lin Shang, Rob J Hyndman
core  

Patient therapy outcome modeling in cancer organoids is improved by cancer‐associated fibroblasts and organoid assembly convolution

Molecular Oncology, EarlyView.
Patient‐derived organoids (PDOs) from pancreatic, colorectal, and gastric cancers were used to evaluate standard and experimental therapies. Incorporating cancer‐associated fibroblasts (CAFs) into organoid cultures improved patient therapy outcome prediction.
Marcin Grochowski, Liudmyla Dolinchuk, Michał Jerzak, Albert Gandurski, Tomasz Grochowski, Weronika Wojtyś, Maciej Zadrożny, Wojciech Kaźmierczak, Małgorzata Lenarcik, Marta Matejak‐Górska, Radosław Samsel, Tomasz Olesiński, Dawid Walerych   +12 more
wiley   +1 more source

Similarity evaluation of rocket time series data based on radian features

Dianzi Jishu Yingyong
Evaluating the similarity of rocket time series data is one of the main tasks in rocket time series data analysis. Dynamic time warping (DTW) is the most representative similarity measurement algorithm, but due to its susceptibility to pathological ...
Zeng Teng, Xu Haizhou, Li Linfeng, Zhou Gan, Meng Linggang   +4 more
doaj   +1 more source