Results 71 to 80 of about 93,376 (303)
Forecasting time series with complex seasonal patterns using exponential smoothing [PDF]
A new innovations state space modeling framework, incorporating Box-Cox transformations, Fourier series with time varying coefficients and ARMA error correction, is introduced for forecasting complex seasonal time series that cannot be handled using ...
Alysha M De Livera, Rob J Hyndman
core
Molecular Oncology, EarlyView.Radiotherapy (RT) response depends on the DNA repair capacity of tumor and host cells. We show that circulating tumor cell (CTC) counts and apoptosis rates before and after RT predict treatment response and outcome, which can be accessed via easily accessible liquid biopsy approaches. Created in BioRender. Wikman, H.
Yvonne Goy +10 more
wiley +1 more source
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 +12 more
wiley +1 more source
ADTime: Adaptive Multivariate Time Series Forecasting Using LLMs
Machine Learning and Knowledge ExtractionLarge language models (LLMs) have recently demonstrated notable performance, particularly in addressing the challenge of extensive data requirements when training traditional forecasting models.
Jinglei Pei +5 more
doaj +1 more source
Forecasting Enrollment Model Based on First-Order Fuzzy Time Series
, 2005 This paper proposes a novel improvement of forecasting approach based on using time-invariant fuzzy time series. In contrast to traditional forecasting methods, fuzzy time series can be also applied to problems, in which historical data are linguistic ...
Konstantin Y., Degtiarev, Sah, Melike
core
Molecular Oncology, EarlyView.This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
25 Years of IIF Time Series Forecasting: A Selective Review [PDF]
We review the past 25 years of time series research that has been published in journals managed by the International Institute of Forecasters (Journal of Forecasting 1982-1985; International Journal of Forecasting 1985-2005). During this period, over one
Jan G. De Gooijer, Rob J. Hyndman
core
Loss of IGF‐1R impairs DNA‐PKcs recruitment to chromatin leading to defective end‐joining
Molecular Oncology, EarlyView.IGF‐1R promotes radioresistance by facilitating DNA‐PKcs recruitment to chromatin, enabling non‐homologous end‐joining (NHEJ) repair of double‐strand breaks. Inhibition or loss of IGF‐1R disrupts this recruitment to damage sites, driving compensatory reliance on microhomology‐mediated end‐joining (MMEJ) repair.
Matthew O. Ellis +3 more
wiley +1 more source
A novel spatial electric load forecasting method based on LDTW and GCN
IET Generation, Transmission & DistributionSpatial power load forecasting is crucial for power grid planning, generation planning, dispatching, efficient power utilization, and sustainable development.
Minjie Wei, Mi wen, Yi Zhang
doaj +1 more source
Generalisation Bounds of Zero-Shot Economic Forecasting Using Time Series Foundation Models
Machine Learning and Knowledge ExtractionThis study investigates the transfer learning capabilities of Time-Series Foundation Models (TSFMs) under the zero-shot setup, to forecast macroeconomic indicators.
Jittarin Jetwiriyanon +2 more
doaj +1 more source