Results 91 to 100 of about 7,962,398 (254)
Nonlinear time-series analysis revisited
, 2015 In 1980 and 1981, two pioneering papers laid the foundation for what became known as nonlinear time-series analysis: the analysis of observed data---typically univariate---via dynamical systems theory.
Bradley, Elizabeth, Kantz, Holger
core +1 more source
Molecular Oncology, EarlyView.We developed a cost‐effective methylation‐specific droplet digital PCR multiplex assay containing tissue‐conserved and tumor‐specific methylation markers. The assay can detect circulating tumor DNA with high accuracy in patients with localized and metastatic colorectal cancer.
Luisa Matos do Canto +8 more
wiley +1 more source
Complex Network Approach for Recurrence Analysis of Time Series
, 2009 We propose a novel approach for analysing time series using complex network theory. We identify the recurrence matrix calculated from time series with the adjacency matrix of a complex network, and apply measures for the characterisation of complex ...
Albert +59 more
core +2 more sources
Exploiting metabolic adaptations to overcome dabrafenib treatment resistance in melanoma cells
Molecular Oncology, EarlyView.We show that dabrafenib‐resistant melanoma cells undergo mitochondrial remodeling, leading to elevated respiration and ROS production balanced by stronger antioxidant defenses. This altered redox state promotes survival despite mitochondrial damage but renders resistant cells highly vulnerable to ROS‐inducing compounds such as PEITC, highlighting redox
Silvia Eller +17 more
wiley +1 more source
Using modern time series analysis techniques to predict ENSO events from the SOI time series [PDF]
Nonlinear Processes in Geophysics, 2002 We analyze the monthly 1866-2000 Southern Oscillation Index (SOI) data to determine: 1) whether the SOI data are sufficiently noise-free that useful predictions can be made from them, and 2) in particular, whether future ENSO events can be predicted
J. I. Salisbury, M. Wimbush
doaj
Molecular Oncology, EarlyView.Monitoring circulating tumor DNA (ctDNA) in patients with operable breast cancer can reveal disease relapse earlier than radiology in a subset of patients. The failure to detect ctDNA in some patients with recurrent disease suggests that ctDNA could serve as a supplement to other monitoring approaches.
Kristin Løge Aanestad +35 more
wiley +1 more source
Time series analysis and forecasting with ECOTOOL.
PLoS ONE, 2019 This paper presents ECOTOOL, a new free MATLAB toolbox that embodies several routines for identification, validation and forecasting of dynamic models.
Diego J Pedregal
doaj +1 more source
The Spatial Analysis of Time Series [PDF]
In this paper, we propose a method of analyzing time series, called the spatial analysis. The analysis consists mainly of the statistical inference on the distribution given by the expected local time, which we define to be the spatial distribution, of a
Park, Joon Y.
core
A Bayesian framework for functional time series analysis [PDF]
, 2013 The paper introduces a general framework for statistical analysis of functional time series from a Bayesian perspective. The proposed approach, based on an extension of the popular dynamic linear model to Banach-space valued observations and states, is ...
Petris, Giovanni
core
Molecular Oncology, EarlyView.The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg +43 more
wiley +1 more source