Results 81 to 90 of about 13,606,645 (327)
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
Molecular Oncology, EarlyView.This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
Spectral analysis of multiple time series [PDF]
Application of spectral analysis for mathematically determining relationship of random vibrations in structures and concurrent events in electric circuits, physiology, economics, and seismograms is discussed.
Dubman, M. R.
core
Financial Development and Energy Consumption Nexus in Malaysia: A Multivariate Time Series Analysis
, 2019 Despite a bourgeoning literature on the existence of a long-run relationship between energy consumption and economic growth, the findings have failed to establish clearly the direction of causation.
S. M. Fakhrul Islam +3 more
semanticscholar +1 more source
Chaotic Time Series Analysis [PDF]
Mathematical Problems in Engineering, 2010 Chaotic dynamical systems are ubiquitous in nature and most of them does not have an explicit dynamical equation and can be only understood through the available time series. We here briefly review the basic concepts of time series and its analytic tools, such as dimension, Lyapunov exponent, Hilbert transform, and attractor reconstruction.
openaire +2 more sources
Molecular Oncology, Volume 20, Issue 6, Page 1473-1493, June 2026.This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns +10 more
wiley +1 more source
Time series analysis to forecast temperature change [PDF]
ARIMA models are often used to model the evolution in time of economic issues. We demonstrate that an ARIMA model is also valuable in the environmental field, where the evolution of climate change is causing many concerns.
Van Hecke, Tanja
core
Wavelet Transform Application for/in Non-Stationary Time-Series Analysis: A Review
Applied Sciences, 2019 Non-stationary time series (TS) analysis has gained an explosive interest over the recent decades in different applied sciences. In fact, several decomposition methods were developed in order to extract various components (e.g., seasonal, trend and ...
Manel Rhif +4 more
semanticscholar +1 more source
Software for Time Series Analysis [PDF]
, 1982 This paper is devoted to the presentation of (a) a general approach in univariate time series analysis, and (b) the corresponding computer software called ANSECH. The methodology is similar to that of Box and Jenkins(1970) but the class of models is wider. The main algorithms for estimation and forecasting are briefly described.
openaire +2 more sources
The Spectral Analysis of Time-Series
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1957 Summary (i) A review has been made of spectral analysis and its relation with other branches of time-series analysis. A detailed account has been given of the methods available for estimating the spectral density, the band spectrum and the integrated spectrum; suggestions have also been made for confidence intervals for the latter two ...
Jenkins, G. M., Priestley, M. B.
openaire +2 more sources
COMP–PMEPA1 axis promotes epithelial‐to‐mesenchymal transition in breast cancer cells
Molecular Oncology, EarlyView.This study reveals that cartilage oligomeric matrix protein (COMP) promotes epithelial‐to‐mesenchymal transition (EMT) in breast cancer. We identify PMEPA1 (protein TMEPAI) as a novel COMP‐binding partner that mediates EMT via binding to the TSP domains of COMP, establishing the COMP–PMEPA1 axis as a key EMT driver in breast cancer.
Konstantinos S. Papadakos +6 more
wiley +1 more source