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Multiple testing correction in linear mixed models

Jong Wha J. Joo, Farhad Hormozdiari, Buhm Han, Eleazar Eskin
2016 Genome Biology  
The permutation test is considered to be the gold standard in multiple testing correction as it accurately takes into account the correlation structure of the genome.  ...  The correlation between the genetic information at each variant, referred to as the genotype, and the phenotypic information is assessed to identify the set of variants associated with the trait of interest  ...  It applies a sliding-window approach (see section "Methods" for the details of the sliding-window approach).  ... 
doi:10.1186/s13059-016-0903-6 pmid:27039378 pmcid:PMC4818520 fatcat:wlzituqxkncdtishbqia3ae37e

MULTI-SCALE CORRELATIONS IN CONTINUOUS GENOMIC DATA

R. E. THURMAN, W. S. NOBLE, J. A. STAMATOYANNOPOULOS
2007 Biocomputing 2008  
We use wavelets to generate a multi-scale view of each component data set and calculate correlations between data types as a function of genome position over a continuous range of scales in sliding window  ...  We determine the statistical significance of correlations using a non-parametric sampling approach.  ...  We computed the Pearson correlation of the CWT coefficients at each scale, in a sliding window fashion across the genome.  ... 
doi:10.1142/9789812776136_0021 fatcat:uf77q4oonzgrrftsfwi3z3xw6q

The neural signature of information regularity in temporally extended event sequences

Jiaxiang Zhang, James B. Rowe
2015 NeuroImage  
We quantified timescale-dependent regularity measures by calculating Shannon's entropy and surprise from a sliding-window of consecutive task events and actions.  ...  Here, we used fMRI to investigate the neural correlates of regularity in sequences of task events and action selections in a visuomotor choice task.  ...  The authors declare no conflicts of interest.  ... 
doi:10.1016/j.neuroimage.2014.12.021 pmid:25524648 pmcid:PMC4306597 fatcat:qsrzybvyfzfrtogq4di2sbeovu

Parametric Analysis for Monitoring 2D Kinetics of Receptor–Ligand Binding

Ganyun Sun, Yan Zhang, Bo Huo, Mian Long
2009 Cellular and Molecular Bioengineering  
Parametric analysis also demonstrated that such the estimations were sensitive to parameters such as sampling rate, sliding window size, and threshold.  ...  Various protocols such as sliding standard deviation (SD) analysis (SSA) and Page's test analysis (PTA) have been used to estimate two-dimensional (2D) kinetic rates from the time course of displacement  ...  FIGURE 7 . 7 Parametric correlation for SSA and PTA. (a) Critical sliding window size increased with the ratio of sampling rate to f c for SSA.  ... 
doi:10.1007/s12195-009-0079-1 fatcat:eyd3zzx6j5eddlemtfiyhzpdke

Supplementary document for Identification of new endoplasmic reticulum formation mechanism by multi-parametric, quantitative super-resolution imaging - 5570654.pdf

Shuhao Qian, Jia Meng, Wenjie Liu, Lu Yang, Chuncheng Wang, Rushan Jiang, Xu Liu, Cuifang Kuang, Zhihua Ding, Zhiyi liu
2022 figshare.com  
Time-dependent quantitative information of hooking mechanism.  ...  For the comprehensive consideration of MTassociated ER formation processes, we calculated mean value of the time-dependent DO as MDO, as well as mean and standard deviation of the time-dependent DW as  ... 
doi:10.6084/m9.figshare.17104811.v2 fatcat:tz5fu5wj7je3rc4wgaarxon4zm

Supplementary document for Identification of new endoplasmic reticulum formation mechanism by multi-parametric, quantitative super-resolution imaging - 5570654.pdf

Shuhao Qian, Jia Meng, Wenjie Liu, Lu Yang, Chuncheng Wang, Rushan Jiang, Xu Liu, Cuifang Kuang, Zhihua Ding, Zhiyi liu
2022 figshare.com  
Time-dependent quantitative information of hooking mechanism.  ...  For the comprehensive consideration of MTassociated ER formation processes, we calculated mean value of the time-dependent DO as MDO, as well as mean and standard deviation of the time-dependent DW as  ... 
doi:10.6084/m9.figshare.17104811.v1 fatcat:jxjbf7ezwnhnnk5vtpdd3vm6ba

Analyzing, Modeling, and Utilizing Observation Series Correlation in Capital Markets

Alexander Musaev, Dmitry Grigoriev
2021 Computation  
In this paper, we consider the task of the analysis, modeling, and application of dependencies between asset quotes at various capital markets.  ...  Our work intends to give a theoretical basis to asset management strategies that estimate an asset's price via regression, taking into account its correlated assets in various markets.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/computation9080088 fatcat:d457jpg5nrcvxfhfvvfxjbavvq

Dynamic Dependency Tests for Audio-Visual Speaker Association

Michael R. Siracusa, John W. Fisher
2007 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07  
This is contrasted with standard sliding window based dependence analysis. Using this model we obtain state-of-the-art performance on an audio-visual association task without benefit of training data.  ...  Each dependency structure has an explicit semantic meaning, namely "who is speaking." This model takes advantage of both structural and parametric changes associated with changes in speaker.  ...  All tests which estimate correlation or MI over a sliding window to check for dependence fall into this windowed factorization test framework (e.g. [1, 3] ).  ... 
doi:10.1109/icassp.2007.366271 dblp:conf/icassp/SiracusaF07 fatcat:megff6wldnarjkagd3q2y5bqr4

Assessing uncertainty in dynamic functional connectivity

Maria Kudela, Jaroslaw Harezlak, Martin A. Lindquist
2017 NeuroImage  
For these reasons, assessment of uncertainty in the sliding-window correlation estimates is of critical importance.  ...  Functional connectivity (FC) -the study of the statistical association between time series from anatomically distinct regions [6, 7] -has become one of the primary areas of research in the field surrounding  ...  The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.  ... 
doi:10.1016/j.neuroimage.2017.01.056 pmid:28132931 pmcid:PMC5384341 fatcat:xnwrhc4acffttcs3xbmjmrhrza

Effet d'une perturbation sur l'estimation de modèles autorégressifs

T. ROBERT, C. MAILHES
1994 Journal de Physique IV : Proceedings  
This change occurs w h e i at the instant of change, a signal adds to one which was present before both signals are independent -. The theoretical sliding window AR parameter expressions are given.  ...  We show that blind sliding window AR estimation can lead to a detection tool, allowing additive changes to be detected and distinguished.  ...  AR dépendent de la position de la fenêtre de modélisation.  ... 
doi:10.1051/jp4:19945308 fatcat:mxkqmwnlu5fs3eb63l3lkb7w5u

Parametric adaptive signal detection for hyperspectral imaging

Hongbin Li, J.H. Michels
2006 IEEE Transactions on Signal Processing  
In this paper, a class of training-efficient adaptive signal detectors is presented by exploiting a parametric model that takes into account the nonstationarity of HSI data in the spectral dimension.  ...  Several important issues are discussed, including model order selection, training screening, and time-series-based whitening and detection, which are intrinsic parts of the proposed parametric adaptive  ...  Equivalently, these subvectors can be thought of as being obtained by windowing using a sliding window of size .  ... 
doi:10.1109/tsp.2006.873589 fatcat:heo7l7odovcijpgmyft7l77asq

Quantitative Ultrasound Spectroscopic Imaging for Characterization of Disease Extent in Prostate Cancer Patients

Ali Sadeghi-Naini, Ervis Sofroni, Naum Papanicolau, Omar Falou, Linda Sugar, Gerard Morton, Martin J. Yaffe, Robert Nam, Alireza Sadeghian, Michael C. Kolios, Hans T. Chung, Gregory J. Czarnota
2015 Translational Oncology  
The 0-MHz intercept parameter demonstrated a lower level of correlation with histopathology. Spectral slope parametric maps offered no discrimination of disease.  ...  Areas of cancer were identified in whole-mount histopathology specimens, and disease extent was correlated to that estimated from quantitative ultrasound parametric images.  ...  QUS spectral parameters were calculated using a sliding window approach to produce parametric maps of the 0-MHz intercept, midband fit (MBF), and spectral slope.  ... 
doi:10.1016/j.tranon.2014.11.005 pmid:25749174 pmcid:PMC4350638 fatcat:i352lwug7rhxldnbzkx5br4sve

Epileptic network activity revealed by dynamic functional connectivity in simultaneous EEG-fMRI

Maria Giulia Preti, Nora Leonardi, F. Isik Karahanoglu, Frederic Grouiller, Melanie Genetti, Margina Seeck, Serge Vulliemoz, Dimitri Van De Ville
2014 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)  
The detailed results obtained from the analysis of two patients successfully detected specific patterns of connections/disconnections related to the epileptic activity and highlighted the potential of  ...  Recent findings highlighted the non-stationarity of brain functional connectivity (FC) during resting-state functional magnetic resonance imaging (fMRI), encouraging the development of methods allowing  ...  In fact, the assessment of the temporal correlation between the EEG time-dependent signal mEEG and the connections' dynamics (usually obtained in dFC analysis by the sliding-window correlation of two fMRI  ... 
doi:10.1109/isbi.2014.6867796 dblp:conf/isbi/PretiLKGGSVV14 fatcat:5ugyxojtlbhanfmm53pob6hdui

Copula-based Stochastic Kernels for Abrupt Change Detection

G. Mercier, S. Derrode, W. Pieczynski, J.-M. Nicolas, A. Joannic-Chardin, J. Inglada
2006 2006 IEEE International Symposium on Geoscience and Remote Sensing  
Distance between marginal pdfs is evaluated by using a series expansion of the Kullbak-Leibler distance. It is achieved by estimating cumulants up to order 4 from a sliding window of fixed size.  ...  It is based on rank statistics and yields an analytic expression, that depends on the parameter of the copula only, to be evaluated to obtain the mutual information.  ...  A parametric model of dependency is proposed to estimate eq. (3) through windows of limited size. This parametric model uses the copula theory.  ... 
doi:10.1109/igarss.2006.57 dblp:conf/igarss/MercierDPNJI06 fatcat:e27ktiszmbfjddu54tq5ajq4mm

Intelligent Traffic Flow Prediction Using Optimized GRU Model

Basharat Hussain, Muhammad Khalil Afzal, Shafiq Ahmad, Almetwally M. Mostafa
2021 IEEE Access  
In this research work, we present an algorithm for hyperparameters tuning along with sliding window steps optimization.  ...  Like other deep networks, GRU uses hyperparameters and a sliding window time-steps mechanism to prepare and tune the model.  ...  sliding window of length L, Learning Rate η from finite set.  ... 
doi:10.1109/access.2021.3097141 fatcat:57whsxrmsnfmtkip7dlcjhq2ze
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