Results 191 to 200 of about 33,054,453 (365)
Stochastic population forecasts using functional data models for mortality, fertility and migration [PDF]
Age-sex-specific population forecasts are derived through stochastic population renewal using forecasts of mortality, fertility and net migration. Functional data models with time series coefficients are used to model age-specific mortality and fertility
Heather Booth, Rob J Hyndman
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Molecular Oncology, EarlyView.Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
Common Functional Principal Components [PDF]
Functional principal component analysis (FPCA) based on the Karhunen-Lo`eve decomposition has been successfully applied in many applications, mainly for one sample problems.
Michal Benko +2 more
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Smoothing dynamic positron emission tomography time courses using functional principal components [PDF]
, 2009 A functional smoothing approach to the analysis of PET time course data is presented. By borrowing information across space and accounting for this pooling through the use of a nonparametric covariate adjustment, it is possible to smooth the PET time ...
Aston, John A. D. +2 more
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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
Clustering for multivariate functional data
, 2016 A novel multivariate k-centers functional clustering algorithm for the multivariate functional data is proposed. We assume that clusters can be defined via the functional principal components subspace projection for each variable.
Li, Pai-Ling;Kuo, Ling-Cheng
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Molecular Oncology, EarlyView.Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen +11 more
wiley +1 more source
Contributions to Functional Data Analysis with Applications to Modeling Time Series and Panel Data
, 2013 In Chapter 1 we propose a new perspective on modeling and forecasting electricity spot prices. Our approach is motivated by the data-generating process of electricity spot prices, which is well described what is called the merit order model.
Liebl, Dominik
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Molecular Oncology, EarlyView.Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau +36 more
wiley +1 more source
Curve Data Classification via Functional Regression Analysis
, 2012 計畫編號：NSC100-2118-M032-006研究期間：20110801~20120731研究經費：315,000本計畫將討論曲線資料(curve data)的分類(classification)問題，尤其是當存 在有與分類相關的解釋變數(covariates)時，探討如何將這些解釋變數有用之訊 息有效加入函數型分類方法中。我們將曲線資料視為隨機過程的實際觀測值， 並假設在多個已知分類下，各類隨機函數的平均函數與共變異函數均可能相 異。在給定相關解釋變數的訊息下，我們將利用條件函數型主成份分析 ...
李百靈
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