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  1. 1721
    “…Reduced sequencing costs have made feasible dense time-series analysis of gene expression using RNA-seq; however, statistical methods in the context of temporal RNA-seq data are poorly developed. …”
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    Online Artículo Texto
    The analytical landscape of static and temporal dynamics in transcriptome data
  2. 1722
    “…Missing pixels from the MODIS11 remote sensing land temperature product were estimated using Fourier decomposition and time-series analysis; thus providing an alternative to the 8-day and 30-day aggregated products. …”
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    An Environmental Data Set for Vector-Borne Disease Modeling and Epidemiology
  3. 1723
    “…METHODS: We conducted a retrospective population cohort study using time series analysis to evaluate seasonal patterns of atrial fibrillation hospitalizations for the province of Ontario for the years 1988 to 2001. …”
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    Is there a clinically significant seasonal component to hospital admissions for atrial fibrillation?
  4. 1724
    por Wang, Gang, Zhang, Yanyan, Wang, Jue
    Publicado 2014
    “…In this study, by combining the nonlinear time series analysis and the time-frequency domain methods, we proposed the wavelet-based correlation dimension method to extract the effective features of SEMG signals. …”
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    Online Artículo Texto
    The Analysis of Surface EMG Signals with the Wavelet-Based Correlation Dimension Method
  5. 1725
    “…Using nonlinear time series analysis methods, such as recurrence quantification analysis and Allan factor, we quantified changes in the stability and multiscale properties of the infant's behaviors across age as well as how these dynamics relate across modalities and effectors. …”
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    Online Artículo Texto
    Using nonlinear methods to quantify changes in infant limb movements and vocalizations
  6. 1726
    por Loeuille, Nicolas, Ghil, Michael
    Publicado 2004
    “…We use advanced time series analysis methods to attribute cyclicities in several North-American mammal species to abiotic vs. biotic factors. …”
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    Intrinsic and climatic factors in North-American animal population dynamics
  7. 1727
    “…Antimicrobial susceptibility testing was performed by the Kirby-Bauer disk diffusion method and time-series analysis was used to evaluate the antimicrobial susceptibility changes over the time. …”
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    Antimicrobial susceptibility trends among Streptococcus pneumoniae over an 11-year period in an Iranian referral children Hospital
  8. 1728
    “…Here we use highly sensitive onset detection and time series analysis to study the amplitude and temporal fluctuations of Jeff Porcaro’s one-handed hi-hat pattern in “I Keep Forgettin’”—one of the most renowned 16th note patterns in modern drumming. …”
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    Fluctuations of Hi-Hat Timing and Dynamics in a Virtuoso Drum Track of a Popular Music Recording
  9. 1729
    “…Motivated by these issues we conduct a systematic time series analysis of BGP update rates. We find that BGP update time series are extremely volatile, exhibit long-term correlations and memory effects, similar to seismic time series, or temperature and stock market price fluctuations. …”
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    Long-Range Correlations and Memory in the Dynamics of Internet Interdomain Routing
  10. 1730
    “…The cross-embedding method captures structured interaction underlying cortex-wide dynamics that may be missed by conventional correlation-based analysis, demonstrating a critical role of time-series analysis in characterizing brain state. The method reveals a consciousness-related hierarchy of cortical areas, where dynamical complexity increases along with cross-area information flow. …”
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    Online Artículo Texto
    Untangling Brain-Wide Dynamics in Consciousness by Cross-Embedding
  11. 1731
    “…To clarify the mechanisms of Nosema ceranae parasitism, we deep-sequenced both honey bee host and parasite mRNAs throughout a complete 6-day infection cycle. By time-series analysis, 1122 parasite genes were significantly differently expressed during the reproduction cycle, clustering into 4 expression patterns. …”
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    Host-Parasite Interactions and Purifying Selection in a Microsporidian Parasite of Honey Bees
  12. 1732
    “…Here we followed the transcriptional response to pre-TCR signalling in a synchronised population of differentiating double negative thymocytes. This time series analysis revealed a complex transcriptional response, in which thousands of genes were up and down-regulated before changes in cell surface phenotype were detected. …”
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    A genome wide transcriptional model of the complex response to pre-TCR signalling during thymocyte differentiation
  13. 1733
    “…We investigated the global response of Streptococcus suis to exposure to the SigX competence-inducing peptide (XIP), and thus to the activation of the competence machinery, using time series analysis together with PCA analysis, gene clustering followed by heatmap visualisation, and GO enrichment analysis. …”
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    Metabolic Context of the Competence-Induced Checkpoint for Cell Replication in Streptococcus suis
  14. 1734
    “…The aim of this study was to analyse RSV seasonality in the five distinct regions of Brazil using time series analysis (wavelet and Fourier series) of the following indicators: monthly positivity of the immunofluorescence reaction for RSV identified by virologic surveillance system, and rate of hospitalisations per bronchiolitis and pneumonia due to RSV in children under 5 years old (codes CID-10 J12.1, J20.5, J21.0 and J21.9). …”
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    Respiratory syncytial virus seasonality in Brazil: implications for the immunisation policy for at-risk populations
  15. 1735
    “…For the ocean system, it is further shown that the resulting phase space dimension may vary, such that the threshold for rogue wave formation is not always reached. Time series analysis as well as the appearance of particular focusing wind conditions may enable an effective forecast of such rogue-wave prone situations. …”
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    Ocean rogue waves and their phase space dynamics in the limit of a linear interference model
  16. 1736
    por Selmane, Schehrazad
    Publicado 2015
    “…METHODS: We carried out a time series analysis based on the Box-Jenkins method to fit an autoregressive moving average (ARMA) model incorporating climate factors to the monthly recorded CL cases in Biskra province from 2000 to 2014. …”
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    Dynamic relationship between climate factors and the incidence of cutaneous leishmaniasis in Biskra Province in Algeria
  17. 1737
    por Tian, C. W., Wang, H., Luo, X. M.
    Publicado 2019
    “…Seasonal autoregressive-integrated moving average (SARIMA) has been widely used to model and forecast incidence of infectious diseases in time-series analysis. This study aimed to model and forecast monthly cases of hand, foot and mouth disease (HFMD) in China. …”
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    Time-series modelling and forecasting of hand, foot and mouth disease cases in China from 2008 to 2018
  18. 1738
    “…Based on the hourly air temperature from 195 meteorological stations during August 2015 in Changchun, China, hourly spatiotemporal patterns of UHI were mapped to explore the temporal variability and the effects of land use on the thermal environment using time series analysis, air temperature profiling, and spatial analysis. …”
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    Characterizing the Hourly Variation of Urban Heat Islands in a Snowy Climate City during Summer
  19. 1739
    “…We present MITRE, the Microbiome Interpretable Temporal Rule Engine, a supervised machine learning method for microbiome time-series analysis that infers human-interpretable rules linking changes in abundance of clades of microbes over time windows to binary descriptions of host status, such as the presence/absence of disease. …”
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    MITRE: inferring features from microbiota time-series data linked to host status
  20. 1740
    “…An interrupted time series analysis was conducted to examine the immediate impact of Harvey landfall on physical activity; t-tests were performed to assess if trail usage returned to pre-Harvey levels. …”
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    Daily Bicycle and Pedestrian Activity as an Indicator of Disaster Recovery: A Hurricane Harvey Case Study
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