Results 101 to 110 of about 655,816 (301)
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
Similarity Search Based on Random Projection for High Frequency Time Series
, 2008 Similarity search in high frequency time series of domains as diverse as finance, marketing and industry has attracted much research attention recently. The main notions used in similarity search for time series are defined in a formal way.
Wu W(吴薇) +3 more
core +1 more source
Re-Ranking and Representations for Time Series Retrieval: A Comparative Study
IEEE AccessProperly understanding the trends and patterns of multiple variables over time is important for decision-making in several applications, ranging from ecological monitoring based on vegetation index time series to health condition assessment based on ...
Bionda Rozin +2 more
doaj +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
Segmented shape-symbolic time series representation. [PDF]
, 2014 . This paper introduces a symbolic time series representation using monotonic sub-sequences and bottom up segmentation. The representation min-imizes the square error between the segments and their monotonic approximations.
Kruitbosch, Herbert Teun +2 more
openaire +3 more sources
Modelling Memory of Economic and Financial Time Series [PDF]
Much time series data are recorded on economic and financial variables. Statistical modelling of such data is now very well developed, and has applications in forecasting.
Peter M Robinson
core
Financial time series classification method based on low‐frequency approximate representation
Engineering ReportsAiming at the mode mixing problems of high frequency information caused by fluctuation agglomeration and pointed peak thick tail of financial time series, a time series classification method based on low frequency approximate representation is proposed ...
Bing Liu, Huanhuan Cheng
doaj +1 more source
Time Series Clustering Method Based on Contrastive Learning [PDF]
Jisuanji kexueIt is difficult to intuitively define the similarity between time series by deep clustering methods which rely heavily on complex feature extraction networks and clustering algorithms.Contrastive learning can define the interval similarity of time series
YANG Bo, LUO Jiachen, SONG Yantao, WU Hongtao, PENG Furong
doaj +1 more source
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
Molecular Oncology, EarlyView.Combining osimertinib with the STING agonist ADU‐S100 activates innate and adaptive immunity to overcome the non‐inflamed microenvironment of Egfr‐mutant lung cancer. This combination increases NK and CD8+ T‐cell infiltration, associated with activation of the STING‐IRF3 pathway and local immunogenic cell death.
Jun Nishimura +19 more
wiley +1 more source